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	<title>User Prompt - Psychologic IT Expertise &#187; LibreOffice</title>
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	<link>http://user-prompt.com</link>
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		<title>Tip the tool: How to label toolbar functions</title>
		<link>http://user-prompt.com/tip-the-tool-how-to-label-toolbar-functions/</link>
		<comments>http://user-prompt.com/tip-the-tool-how-to-label-toolbar-functions/#comments</comments>
		<pubDate>Fri, 26 Apr 2013 08:19:24 +0000</pubDate>
		<dc:creator>User Prompt</dc:creator>
				<category><![CDATA[Analyse]]></category>
		<category><![CDATA[LibreOffice]]></category>
		<category><![CDATA[Research]]></category>

		<guid isPermaLink="false">http://user-prompt.com/?p=3382</guid>
		<description><![CDATA[Toolbar functions should be labeled consistently starting with a verb which is followed by noun or adverb. We present recommendations to label the functions on Libreoffice' standard toolbar.]]></description>
				<content:encoded><![CDATA[<p><strong>The basic cue to the provided function of unlabeled controls are <strong>tooltips</strong>. We recommend to define naming conventions to make those tips meaningful.</strong></p>
<h2>Naming Convention</h2>
<p>Suitability for learning and self-descriptiveness, two of the basic <a title="Ergonomic requirements for office work with visual display terminals: Dialogue principles (ISO 9241-110)" href="http://en.wikipedia.org/wiki/ISO_9241#ISO_9241-110">usability goals</a>, depend largely on the information users can read directly. Most graphical user interfaces use toolbar buttons to provide access to core functions. Those buttons usually contain an icon but no caption. The function is revealed by common sense (left most icon provides <em>New</em>), iconic depiction (a <a title="About Antiquated Metaphors in Icons" href="http://user-prompt.com/about-antiquated-metaphors-in-icons/">floppy</a> points to <em>Save</em>), and tooltips that are shown when the mouse hovers the control. Obviously the latter are most important and it&#8217;s a good idea to have conventions for these labels.</p>
<p>It has become apparent that some of Libreoffice&#8217; toolbar buttons provide confusing and sometimes misleading tooltips. Better labels would not only support <a title="Wikipedia: Learnability" href="http://en.wikipedia.org/wiki/Learnability" target="_blank">learnability</a> but also help to solve some of the mix-ups we found, e.g. in the case of the <em><a title="Where does the Navigator lead you?" href="http://user-prompt.com/where-does-the-navigator-lead-you/">Navigator</a></em>. It is common practice to name English functions starting with a verb followed by a noun or adverb. But take care with localization: different languages might have a different grammar! For instance, in German a verb-noun sequence has a strong imperative connotation and it&#8217;s better to have noun-verb labels. Anyway, the functions in each languages should be labeled consistently with the specific grammar in mind.</p>
<h2>Recommendation for Libreoffice functions in the standard toolbar</h2>
<p>We recommend to label all functions starting with a verb followed by noun or adverb (in case of English). Text should be concise, helpful, and easy to read. If the function can be started by shortcut it is added to the text in parentheses. Normal shortcuts combine the control-key (Ctrl) with a letter; the use of simple function keys should be avoided.</p>
<table border="1" cellspacing="0" cellpadding="2">
<tbody>
<tr>
<td bgcolor="#cccccc"><span style="color: black;">Old function label</span></td>
<td bgcolor="#cccccc"><span style="color: black;">Suggested new label</span></td>
</tr>
<tr>
<td>New</td>
<td>Create new document (Ctrl+N)</td>
</tr>
<tr>
<td>Open</td>
<td>Open document (Ctrl+O)</td>
</tr>
<tr>
<td>Save</td>
<td>Save document (Ctrl+S)</td>
</tr>
<tr>
<td>Send as email</td>
<td>Email document¹</td>
</tr>
<tr>
<td>Edit File</td>
<td>Toggle edit mode¹</td>
</tr>
<tr>
<td>Export as PDF</td>
<td>Export as PDF</td>
</tr>
<tr>
<td>Print File Directly</td>
<td>Print document directly¹</td>
</tr>
<tr>
<td>Page Preview</td>
<td>Preview print output (Ctrl+P)</td>
</tr>
<tr>
<td>Spelling &amp; Grammar</td>
<td>Check spelling &amp; grammar (F7)</td>
</tr>
<tr>
<td>AutoSpellcheck</td>
<td>Toggle auto spellcheck¹</td>
</tr>
<tr>
<td>Cut</td>
<td>Cut marked area (Ctrl+X)</td>
</tr>
<tr>
<td>Copy</td>
<td>Copy marked area (Ctrl+C)</td>
</tr>
<tr>
<td>Paste</td>
<td>Paste from clipboard (Ctrl+V)</td>
</tr>
<tr>
<td>Format Paintbrush</td>
<td>Clone formatting²</td>
</tr>
<tr>
<td>Undo</td>
<td>Undo last action (Ctrl+Z)</td>
</tr>
<tr>
<td>Redo</td>
<td>Redo last undo action (Ctrl+Y)</td>
</tr>
<tr>
<td>Hyperlink</td>
<td>Insert hyperlink</td>
</tr>
<tr>
<td>Table</td>
<td>Insert table</td>
</tr>
<tr>
<td>Show Draw Functions</td>
<td>Show draw functions¹</td>
</tr>
<tr>
<td>Navigator</td>
<td>Show document structure (F5)</td>
</tr>
<tr>
<td>Gallery</td>
<td>Show gallery functions¹</td>
</tr>
<tr>
<td>Data Sources</td>
<td>Show data source functions¹</td>
</tr>
<tr>
<td>Non Printing Characters</td>
<td>Display non printing characters (Ctrl+F10)</td>
</tr>
<tr>
<td>LibreOffice Help</td>
<td>Open help browser (F1)</td>
</tr>
</tbody>
</table>
<p>¹ It should be considered to remove this function from the standard toolbar</p>
<p>² Some functions need redesign, e.g. toolbar buttons must not get &#8216;overloaded&#8217;.</p>
<h2>Conclusion</h2>
<p>Functions should be labeled in a definite and unified way. Well named functions help users to understand the program and to learn how to use it efficiently. Convention for labels should be defined depending on the localization.</p>
<p>What do you think about these suggestions? Do you agree?</p>
]]></content:encoded>
			<wfw:commentRss>http://user-prompt.com/tip-the-tool-how-to-label-toolbar-functions/feed/</wfw:commentRss>
		<slash:comments>7</slash:comments>
		</item>
		<item>
		<title>Metaphors behind icons &#8211; which are really useful?</title>
		<link>http://user-prompt.com/metaphors-behind-icons-which-are-really-useful/</link>
		<comments>http://user-prompt.com/metaphors-behind-icons-which-are-really-useful/#comments</comments>
		<pubDate>Wed, 24 Apr 2013 08:12:43 +0000</pubDate>
		<dc:creator>User Prompt</dc:creator>
				<category><![CDATA[Involve]]></category>
		<category><![CDATA[LibreOffice]]></category>
		<category><![CDATA[Research]]></category>

		<guid isPermaLink="false">http://user-prompt.com/?p=3185</guid>
		<description><![CDATA[Metaphors determine the association between a function and its icon. But sometimes these metaphors are misleading or ambiguous. With your help, we want to improve the metaphors used in Libreoffice. ]]></description>
				<content:encoded><![CDATA[<p><b>Metaphors determine the association between a function and its icon. But sometimes these metaphors are misleading or ambiguous. With your help, we want to improve the metaphors used in Libreoffice. </b></p>
<h2>What has happened before</h2>
<p>Metaphors are the basis of any good icon design. For instance, scissors are used to cut something and this metaphor fits perfect for the respective computer function. On the other hand, it is rather difficult to associate a filing cabinet, for example, with the function <em>Save</em>.</p>
<p>There are different ways for improving the usability of a specific function and its respective icon. Depending on the problem one might change the label, change the icon to be more obvious or change the underlying metaphor altogether.</p>
<p>As we compiled the <a title="Semiotics in Usability: Guidelines for the Development of Icon Metaphors" href="http://user-prompt.com/semiotics-in-usability-guidelines-for-the-development-of-icon-metaphors/">results</a> of our last study, it became apparent that some metaphors of Libreoffice&#8217; standard toolbar do not work in their intended way. Our next step is to prepare new icons based on stronger associations between the underlying function and its graphical representation.</p>
<h2>What we plan to do</h2>
<p>As a starting point we selected the functions that have room for improvement and investigated alternative metaphors user could associate with these functions. We tried to be creative in our vantage points and also incorporated some of the ideas you had when you commented on our previous articles.</p>
<p>We selected ten functions, that need improvement and created a few alternative metaphors for each of these functions. These are partly from the original, natural pendants of these functions, partly from associations found in cultural and historical contexts and partly from connotations we had for the word, i.e. the function itself.</p>
<p>The function <em>undo</em> could for instance be represented by the metaphor &#8216;correction fluid&#8217;, because both the function and the metaphor erase the last written words. Of course, <em>undo</em> does more than that, but the core functionality might be better represented than with the depiction of a clipboard as it is today.<br />
The metaphors we are searching for do not have to be perfect. We are rather in brainstorming mode and ask for your support, because everyone will have different things in mind when hearing about a certain function. Additionally we want to compare as many different solutions as possible. Also we need some distractors in between to evaluate the strength of the association.</p>
<p>The ten selected functions with their original metaphor in LibreOffice Writer and some examples of the metaphors we created are listed below.</p>
<table border="1">
<tbody>
<tr>
<td align="center" bgcolor="#C0C0C0"><span style="color: black;">function</span></td>
<td align="center" bgcolor="#C0C0C0"><span style="color: black;">original metaphor</span></td>
<td align="center" bgcolor="#C0C0C0"><span style="color: black;">example</span></td>
<td colspan="1" align="center" bgcolor="#C0C0C0"><span style="color: black;">suggestions</span></td>
</tr>
<tr>
<td align="center">New document</td>
<td align="center"><a href="http://user-prompt.com/wp-content/uploads/new.png"><img class="alignnone size-full wp-image-2693" alt="new" src="http://user-prompt.com/wp-content/uploads/new.png" width="22" height="22" /></a></p>
<p>document</td>
<td align="center"><a href="http://user-prompt.com/wp-content/uploads/1365779738_Egg.png"><img class="alignnone size-full wp-image-3192" alt="1365779738_Egg" src="http://user-prompt.com/wp-content/uploads/1365779738_Egg.png" width="30" height="30" /></a></p>
<p>egg</td>
<td align="center">explosion</p>
<p>sprout</p>
<p>on/off sign</td>
</tr>
<tr>
<td align="center">Save</td>
<td align="center"><a href="http://user-prompt.com/wp-content/uploads/save.png"><img class="alignnone size-full wp-image-2697" alt="save" src="http://user-prompt.com/wp-content/uploads/save.png" width="22" height="22" /></a></p>
<p>floppy Disc</td>
<td align="center"><a href="http://user-prompt.com/wp-content/uploads/1365786121_save_money_piggy_bank.png"><img class="alignnone size-full wp-image-3195" alt="1365786121_save_money_piggy_bank" src="http://user-prompt.com/wp-content/uploads/1365786121_save_money_piggy_bank.png" width="28" height="28" /></a></p>
<p>piggy bank</td>
<td align="center">lock</p>
<p>purse</p>
<p>HDD</p>
<p>downward arrow</td>
</tr>
<tr>
<td align="center">Copy</td>
<td align="center"><a href="http://user-prompt.com/wp-content/uploads/copy.png"><img class="alignnone size-full wp-image-2690" alt="copy" src="http://user-prompt.com/wp-content/uploads/copy.png" width="22" height="22" /></a></p>
<p>two documents</td>
<td align="center"><a href="http://user-prompt.com/wp-content/uploads/1365786972_kcmmemory.png"><img class="alignnone size-full wp-image-3214" alt="1365786972_kcmmemory" src="http://user-prompt.com/wp-content/uploads/1365786972_kcmmemory.png" width="25" height="25" /></a></p>
<p>RAM unit</td>
<td align="center">key C</p>
<p>copy machine</p>
<p>x 2</p>
<p>arrows from a node</td>
</tr>
<tr>
<td align="center">Paste</td>
<td align="center"><a href="http://user-prompt.com/wp-content/uploads/paste.png"><img class="alignnone size-full wp-image-2719" alt="paste" src="http://user-prompt.com/wp-content/uploads/paste.png" width="24" height="24" /></a></p>
<p>clipboard+Document</td>
<td align="center"><a href="http://user-prompt.com/wp-content/uploads/1365779843_Glue-64.png"><img class="alignnone size-full wp-image-3201" alt="1365779843_Glue-64" src="http://user-prompt.com/wp-content/uploads/1365779843_Glue-64.png" width="34" height="34" /></a></p>
<p>glue</td>
<td align="center">key P</p>
<p>pinned document</p>
<p>tooth paste</p>
<p>puzzle pieces</td>
</tr>
<tr>
<td align="center">Undo</td>
<td align="center"><a href="http://user-prompt.com/wp-content/uploads/undo1.png"><img class="alignnone size-full wp-image-2710" alt="undo" src="http://user-prompt.com/wp-content/uploads/undo1.png" width="24" height="24" /></a></p>
<p>anti clockwise arrow</td>
<td align="center"><a href="http://user-prompt.com/wp-content/uploads/1365786148_Time_machine.png"><img class="alignnone size-full wp-image-3198" alt="1365786148_Time_machine" src="http://user-prompt.com/wp-content/uploads/1365786148_Time_machine.png" width="32" height="32" /></a></p>
<p>clock backward</td>
<td align="center">correction fluid</p>
<p>bin</p>
<p>washcloth</p>
<p>eraser</td>
</tr>
<tr>
<td align="center">Redo</td>
<td align="center"><a href="http://user-prompt.com/wp-content/uploads/redo1.png"><img class="alignnone size-full wp-image-2708" alt="redo" src="http://user-prompt.com/wp-content/uploads/redo1.png" width="24" height="24" /></a></p>
<p>clockwise arrow</td>
<td align="center"><a href="http://user-prompt.com/wp-content/uploads/reversed-bin.png"><img class="alignnone size-full wp-image-3313" alt="reversed bin" src="http://user-prompt.com/wp-content/uploads/reversed-bin.png" width="31" height="31" /></a></p>
<p>reversed bin</td>
<td align="center">sisyphos&#8217; rock</p>
<p>clock forward</p>
<p>pyramid</p>
<p>caged animal</td>
</tr>
<tr>
<td align="center">Format Paintbrush</td>
<td align="center"><a href="http://user-prompt.com/wp-content/uploads/format.png"><img class="alignnone size-full wp-image-2714" alt="format" src="http://user-prompt.com/wp-content/uploads/format.png" width="24" height="24" /></a></p>
<p>brush</td>
<td align="center"><a href="http://user-prompt.com/wp-content/uploads/1365786836_color-palette_sticker.png"><img class="alignnone size-full wp-image-3210" alt="1365786836_color-palette_sticker" src="http://user-prompt.com/wp-content/uploads/1365786836_color-palette_sticker.png" width="37" height="37" /></a></p>
<p>palette</td>
<td align="center">stylised As</p>
<p>clipboard+T</p>
<p>brush+wrench</td>
</tr>
<tr>
<td align="center">Page Preview</td>
<td align="center"><a href="http://user-prompt.com/wp-content/uploads/preview.png"><img class="alignnone size-full wp-image-2720" alt="preview" src="http://user-prompt.com/wp-content/uploads/preview.png" width="24" height="24" /></a></p>
<p>magnifier+printer</td>
<td align="center"><a href="http://user-prompt.com/wp-content/uploads/1365787158_Glasses.png"><img class="alignnone size-full wp-image-3215" alt="1365787158_Glasses" src="http://user-prompt.com/wp-content/uploads/1365787158_Glasses.png" width="36" height="36" /></a></p>
<p>glasses</td>
<td align="center">washing mashine</p>
<p>magnifier + document</td>
</tr>
<tr>
<td align="center">Navigator</td>
<td align="center"><a href="http://user-prompt.com/wp-content/uploads/navigator1.png"><img class="alignnone size-full wp-image-2704" alt="navigator" src="http://user-prompt.com/wp-content/uploads/navigator1.png" width="24" height="24" /></a></p>
<p>compass</td>
<td align="center"><a href="http://user-prompt.com/wp-content/uploads/1365787236_sitemap.png"><img class="alignnone size-full wp-image-3219" alt="1365787236_sitemap" src="http://user-prompt.com/wp-content/uploads/1365787236_sitemap.png" width="29" height="29" /></a></p>
<p>sitemap</td>
<td align="center">road sign</p>
<p>navigation device</p>
<p>document with headings</td>
</tr>
<tr>
<td align="center">Hyperlink</td>
<td align="center"><a href="http://user-prompt.com/wp-content/uploads/link.png"><img class="alignnone size-full wp-image-2732" alt="link" src="http://user-prompt.com/wp-content/uploads/link.png" width="22" height="22" /></a></p>
<p>chain links</td>
<td align="center"><a href="http://user-prompt.com/wp-content/uploads/hyperlink.png"><img class="alignnone size-full wp-image-2717" alt="hyperlink" src="http://user-prompt.com/wp-content/uploads/hyperlink.png" width="24" height="24" /></a></p>
<p>globe</td>
<td align="center">spider</p>
<p>&#8216;WWW&#8217;</p>
<p>underlined blue &#8216;link&#8217;</td>
</tr>
</tbody>
</table>
<h2></h2>
<h2>We need you!</h2>
<p>Every function should have at least four good alternatives. This is where you come into play. <strong>Please help us to improve the study with your ideas for alternative metaphors.</strong> These can be quite diverse and from different contexts. So every input is appreciated.</p>
<p>Once we have found sufficient metaphors for each of these functions we need to create icons to these metaphors that fit in one icon set. <strong>And at this point we need your assistance again since we are not designers but usability experts. Icons should be redesigned to not have any biases because of the color, style, etc.</strong> It does not need to have a really fancy design with 3D effects or the like. But the layout must not influence users decision which one to choose in the upcoming test.</p>
<p>In this final study we will present these icons and users decide which of the icons / metaphors is fitting best to the function. This way we hope to find unambiguous metaphors that solve the mix-ups from the LibreOffice study and that most likely can also be found in other applications.</p>
<h2>Summary</h2>
<p>Can you think of other metaphors for these functions? Do you have any suggestions concerning our approach? If you are a designer, or know one, who would like to help us in creating these test icons, please contact us.</p>
]]></content:encoded>
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		<slash:comments>15</slash:comments>
		</item>
		<item>
		<title>Quick wins: Conclusions of the Libreoffice icon test</title>
		<link>http://user-prompt.com/conclusions-of-the-libreoffice-icon-test/</link>
		<comments>http://user-prompt.com/conclusions-of-the-libreoffice-icon-test/#comments</comments>
		<pubDate>Thu, 18 Apr 2013 09:34:27 +0000</pubDate>
		<dc:creator>User Prompt</dc:creator>
				<category><![CDATA[Analyse]]></category>
		<category><![CDATA[LibreOffice]]></category>
		<category><![CDATA[Research]]></category>

		<guid isPermaLink="false">http://user-prompt.com/?p=3228</guid>
		<description><![CDATA[LibreOffice's icons are sometimes confusing. We present some quick and easy changes that improve functionality.]]></description>
				<content:encoded><![CDATA[<style type="text/css"><!--
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<p><strong>Some of the icons of LibreOffice are confusing. Based on the findings of our last study we present some quick and easy changes that improve functionality. </strong></p>
<h2>Introduction</h2>
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<p>In this article we want to provide suggestions to solve some of the mix-ups that we found in our <a title="Methodology of Testing Icons" href="http://user-prompt.com/methodology-of-testing-icons/">LibreOffice </a><a title="Methodology of Testing Icons" href="http://user-prompt.com/methodology-of-testing-icons/">icon test</a>. We examined the standard toolbar icons of LibreOffice Writer. Over the past few weeks we published a few articles, where we discussed some of the more striking outcomes of the test. On the basis of these findings we derived <a title="Semiotics in Usability: Guidelines for the Development of Icon Metaphors" href="http://user-prompt.com/semiotics-in-usability-guidelines-for-the-development-of-icon-metaphors/">guidelines</a> for creating icon metaphors in general and some <a title="Metaphors behind icons – which are really useful?" href="http://user-prompt.com/metaphors-behind-icons-which-are-really-useful/">long term ideas to design new icons</a>  for Libreoffice. Now we want to present our recommendations for quick fixes to some of the problems and mix-ups that we found.</p>
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<h2><strong>General advices</strong></h2>
<p>A toolbar is primarily used for fast access to frequently used functions. Additionally, it provides an overview of core functions and hence helps users to operate the software efficiently. It&#8217;s always a challenge to find a good balance between both requirements and to avoid clutter in the toolbar. We recommend to double check the usage not only by the developers but also with users.</p>
<p>Furthermore, every structure that can be added to the toolbar is beneficial. While the main menu allocates all functions in categories the toolbar only provides small separators. Functions that belong to the same category should be placed together. Different categories have to be separated. If possible those categories should be supported by different wording for labels, e.g. &#8216;Show&#8217; for sidebars and &#8216;Open&#8217; for dialogs. And, last but not least, icon design should consider to adopt categories, as done with <a title="Citrus: Color codes" href="http://clickortap.wordpress.com/2011/05/16/color-codes/" target="_blank">color codes for mime types</a> for instance.</p>
<p>In the following we present recommendations to remove functions from the toolbar in order to reduce clutter.</p>
<h3><strong>Page Preview</strong></h3>
<table border="1">
<tbody>
<tr>
<td bgcolor="#cccccc">Term</td>
<td colspan="1" bgcolor="#cccccc">Tango</td>
<td colspan="1" bgcolor="#cccccc">Oxygen</td>
</tr>
<tr>
<td>Page Preview</td>
<td><img class="alignnone" alt="" src="http://www.user-weave.net/images/1421877/1?antiCache=1366200359066" width="24" height="24" /></td>
<td><img class="alignnone" alt="" src="http://www.user-weave.net/images/1489620/1?antiCache=1366200276916" width="22" height="22" /></td>
</tr>
<tr>
<td>Print File Directly</td>
<td><img class="alignnone" alt="" src="http://www.user-weave.net/images/1421876/1?antiCache=1366200335197" width="24" height="24" /></td>
<td><img class="alignnone" alt="" src="http://www.user-weave.net/images/1489619/1?antiCache=1366200300322" width="22" height="22" /></td>
</tr>
</tbody>
</table>
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<p>Both <em>Page</em> <em>Preview</em> and <em>Print File Directly</em> have basically the same icon except that page preview has a magnifier / eye over the printer and <em>Print File Directly</em> has a lightning bolt (only Oxygen) above the printer. It could be assumed that the differences between the icons are too little and hence cause the mix-ups we found. On the other hand <em>Page Preview</em> gives a full overview of the current pages and allows to adjust the margins for the finished papers. This is always useful before printing, so <em>Print File Directly</em> could be integrated into the <em>Page Preview</em> view to improve functionality and reduce clutter.</p>
<h3>Spelling and Grammar</h3>
<table border="1">
<tbody>
<tr>
<td bgcolor="#cccccc">Term</td>
<td colspan="1" bgcolor="#cccccc">Tango</td>
<td colspan="1" bgcolor="#cccccc">Oxygen</td>
</tr>
<tr>
<td>Spelling and Grammar</td>
<td><img class="alignnone" alt="" src="http://www.user-weave.net/images/1421878/1?antiCache=1366200146616" width="24" height="24" /></td>
<td><img class="alignnone" alt="" src="http://www.user-weave.net/images/1489621/1?antiCache=1366200211132" width="22" height="22" /></td>
</tr>
<tr>
<td>AutoSpellCheck</td>
<td><img class="alignnone" alt="" src="http://www.user-weave.net/images/1421879/1?antiCache=1366200174812" width="24" height="24" /></td>
<td><img class="alignnone" alt="" src="http://www.user-weave.net/images/1489622/1?antiCache=1366200232196" width="22" height="22" /></td>
</tr>
</tbody>
</table>
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<p>Again <em>Spelling and Grammar</em> and<em> AutoSpellcheck</em> use almost the same icon. Therefore there are a lot of mix-ups. <em>Spelling and Grammar</em> opens a wizard and suggests different spellings for a single term. <em>AutoSpellcheck</em> toggles the marking of words that might be wrong and offers alternatives via a right-click. By the same drop down menu the function <i>Spelling and Grammar </i>can be accessed for more information. We suggest to remove <em>Spelling and Grammar</em> from the toolbar, as it is can easily be accessed by other methods.</p>
<h3>Format Paintbrush</h3>
<table border="1">
<tbody>
<tr>
<td bgcolor="#cccccc">Term</td>
<td colspan="1" bgcolor="#cccccc">Tango</td>
<td colspan="1" bgcolor="#cccccc">Oxygen</td>
</tr>
<tr>
<td>Format Paintbrush</td>
<td><img alt="" src="http://www.userweave.net/images/1421883/1?antiCache=1351157512063" width="24" height="24" name="Grafik1" align="BOTTOM" border="0" /></td>
<td><img alt="" src="http://www.userweave.net/images/1489626/1?antiCache=1351166692920" width="25" height="25" name="Grafik3" align="BOTTOM" border="0" /></td>
</tr>
<tr>
<td>Show Draw Functions</td>
<td><img alt="" src="http://www.userweave.net/images/1421888/1?antiCache=1351157545023" width="24" height="24" name="Grafik2" align="BOTTOM" border="0" /></td>
<td><img alt="" src="http://www.userweave.net/images/1489631/1?antiCache=1351166728445" width="22" height="22" name="Grafik4" align="BOTTOM" border="0" /></td>
</tr>
</tbody>
</table>
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<p>As discussed in &#8216;<a title="What is a pencil used for?" href="http://user-prompt.com/what-is-a-pencil-used-for/">What is a pencil used for?</a>&#8216; these two icons are often mistaken for one another. <i>Format Paintbrush</i> can copy the formatting and apply it to different areas. The function is not <a title="Tip the tool: How to label toolbar functions" href="http://user-prompt.com/tip-the-tool-how-to-label-toolbar-functions/">accurately named</a><b> </b>and the icon metaphor does not associate well with its function. We recommend changing both the name of the function and the icon metaphor. <em>Show Draw Functions</em> could then remain unchanged.</p>
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<h3>Data Sources and Gallery</h3>
<table border="1">
<tbody>
<tr>
<td bgcolor="#cccccc">Term</td>
<td colspan="1" bgcolor="#cccccc">Tango</td>
<td colspan="1" bgcolor="#cccccc">Oxygen</td>
</tr>
<tr>
<td>Data Sources</td>
<td><img alt="" src="http://www.userweave.net/images/1421891/1?antiCache=1351157564617" width="24" height="24" name="Grafik1" align="BOTTOM" border="0" /></td>
<td><img alt="" src="http://www.userweave.net/images/1489635/1?antiCache=1351166751902" width="22" height="22" name="Grafik3" align="BOTTOM" border="0" /></td>
</tr>
<tr>
<td>Gallery</td>
<td> <a href="http://user-prompt.com/wp-content/uploads/gallery.png"><img class="alignnone size-full wp-image-2715" alt="gallery" src="http://user-prompt.com/wp-content/uploads/gallery.png" width="24" height="24" /></a></td>
<td> <a href="http://user-prompt.com/wp-content/uploads/gallery1.png"><img class="alignnone size-full wp-image-2730" alt="gallery" src="http://user-prompt.com/wp-content/uploads/gallery1.png" width="22" height="22" /></a></td>
</tr>
</tbody>
</table>
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<p><em>Data Sources</em> and <em>Gallery</em> are <a title="Where does the Navigator lead you?" href="http://user-prompt.com/where-does-the-navigator-lead-you/">seldom used functions in </a><a href="http://user-prompt.com/where-does-the-navigator-lead-you/">LibreOffice</a> that get mixed-up quite a lot. <em>Data Sources</em> is a function that allows access to databases, such as LibreOffice Base. Our <a title="LibreOffice user research – Results vol.3" href="http://user-prompt.com/libreoffice-user-research-results-vol-3/">Motifs of LibreOffice User-Study</a> showed that only very few users make use of Base. <em>Gallery</em> can be used to insert media from different &#8216;themes&#8217; into the document (maybe it would be easier to just insert the specific media manually instead of first adding it to these themes). Both functions should be removed from the standard toolbar.</p>
<h3>Navigator</h3>
<table border="1">
<tbody>
<tr>
<td bgcolor="#cccccc">Term</td>
<td colspan="1" bgcolor="#cccccc">Tango</td>
<td colspan="1" bgcolor="#cccccc">Oxygen</td>
</tr>
<tr>
<td>Navigator</td>
<td><img alt="" src="http://www.userweave.net/images/1421889/1?antiCache=1351157552100" width="24" height="24" name="Grafik1" align="BOTTOM" border="0" /></td>
<td><img alt="" src="http://www.userweave.net/images/1489632/1?antiCache=1351166737483" width="22" height="22" name="Grafik3" align="BOTTOM" border="0" /></td>
</tr>
</tbody>
</table>
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<p><a title="Where does the Navigator lead you?" href="http://user-prompt.com/where-does-the-navigator-lead-you/">Navigator</a> is another seldom used function. This might be due to the fact that its label is not quite feasible. An alternative might be &#8216;Show Document Structure&#8217; (see <a title="Tip the tool: How to label toolbar functions" href="http://user-prompt.com/tip-the-tool-how-to-label-toolbar-functions/">Naming Convention</a><b></b>). The metaphor behind the icons is a compass, which is fitting for the label <em>Navigator </em>,but not for its function. The name of the function and its metaphor should be changed to improve usability.</p>
<h2>Conclusion</h2>
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<p>We have found a lot of possible improvements for the icons of LibreOffice Writer. Functions should be labeled in a definite and unified way, some icon metaphors should be changed and toolbars should be tidied up, e.g. removing some seldom used function or merging some functions.</p>
<p>There have also been some mix-ups with commonly used functions that have no natural pendant to their icon metapher, like <a title="How abstract can an icon be? About Copy &amp; Paste in LibreOffice" href="http://user-prompt.com/how-abstract-can-an-icon-be-about-copy-paste-in-libreoffice/">Copy and Paste</a> and <a title="Can a direction in time be displayed by spatial signs?" href="http://user-prompt.com/can-a-direction-in-time-be-displayed-by-spatial-signs/">Undo and Redo</a>. Therefore we are currently planning another study which will <a title="Metaphors behind icons – which are really useful?" href="http://user-prompt.com/metaphors-behind-icons-which-are-really-useful/">examine some of these metaphors</a>. We want to determine if the currently used metaphors for a selected group of functions are good enough or if we can find some better fitting ones.</p>
<p>What do you think about these suggestions? Do you agree?</p>
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		<slash:comments>0</slash:comments>
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		<item>
		<title>Participate: New LibreOffice Icon Test started</title>
		<link>http://user-prompt.com/participate-new-libreoffice-icon-test-started-2/</link>
		<comments>http://user-prompt.com/participate-new-libreoffice-icon-test-started-2/#comments</comments>
		<pubDate>Tue, 16 Apr 2013 08:03:33 +0000</pubDate>
		<dc:creator>User Prompt</dc:creator>
				<category><![CDATA[KDE]]></category>
		<category><![CDATA[LibreOffice]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[Test]]></category>
		<category><![CDATA[UserWeave]]></category>

		<guid isPermaLink="false">http://user-prompt.com/?p=3241</guid>
		<description><![CDATA[The LibreOffice design team announces the start of a new online icon test. You are invited to participate!]]></description>
				<content:encoded><![CDATA[<p><strong>The LibreOffice design team announces the start of the next online icon test. You are invited to participate!</strong></p>
<p>After the great response to <strong>
<link /></strong> our <a title="LibreOffice Icon Test: Where are the women?" href="http://user-prompt.com/?p=2174">last icon test</a> with over 3000 people participating, we are now testing the icons of the formatting toolbar. So the test is basically the same as last time, just with a different icon set.</p>
<p>Again, the LibreOffice design team encourages you &#8211; next to taking part yourself &#8211; to promote the link to the survey widely (Participants do not need to be users of LibreOffice):</p>
<ul>
<li>post it on your personal favourite social network,</li>
<li>ask your friends, parents,</li>
<li>send the link via email.</li>
</ul>
<p>Thanks to the LibreOffice localisation team, the test is available in English, French, German, Italian, and Spanish this time. We warmly welcome volunteers that want to help us doing subsequent studies in even more languages! Please help to reach participants speaking your language.</p>
<p>The survey will run for about one week and the results of the tests will be published soon on this blog. If you are interested in the results of the last study <a title="Semiotics in Usability: Guidelines for the Development of Icon Metaphors" href="http://user-prompt.com/?p=2963">this summarizing post</a> is a good starting point.</p>
<p>Finally &#8211; here is where you need to go &#8211; it will take you less than 5 minutes if you are working fast:</p>
<p><a title="User Weave: Study with icon set of Libreoffice" href="http://userweave.net/survey/8704a50314dd4897809d9d790c6f7320" target="_blank">http://userweave.net/survey/8704a50314dd4897809d9d790c6f7320</a></p>
<link />
<p><span style="color: #ff0000;">(Study closed at 2013-04-22, 01:00pm GMT+1)</span></p>
<p>Thank you in the name of the LibreOffice design team.</p>
]]></content:encoded>
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		<item>
		<title>Semiotics in Usability: Guidelines for the Development of Icon Metaphors</title>
		<link>http://user-prompt.com/semiotics-in-usability-guidelines-for-the-development-of-icon-metaphors/</link>
		<comments>http://user-prompt.com/semiotics-in-usability-guidelines-for-the-development-of-icon-metaphors/#comments</comments>
		<pubDate>Wed, 10 Apr 2013 19:26:04 +0000</pubDate>
		<dc:creator>User Prompt</dc:creator>
				<category><![CDATA[Analyse]]></category>
		<category><![CDATA[KDE]]></category>
		<category><![CDATA[LibreOffice]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[Test]]></category>
		<category><![CDATA[UserWeave]]></category>

		<guid isPermaLink="false">http://user-prompt.com/?p=2963</guid>
		<description><![CDATA[In the development of icons, the metaphor plays a vital role to ensure reliable perception and comprehension. We introduce seven guidelines that help to create a balanced set of icons with high usability.]]></description>
				<content:encoded><![CDATA[<p lang="en-US"><strong>In the development of icons, the metaphor plays a vital role to ensure reliable perception and comprehension. We introduce seven guidelines that help to create a balanced set of icons with high usability.</strong></p>
<p lang="en-US">Semiotics is the study of signs and describes the perception, comprehension and communication of symbols. In the field of computer science, semiotics is especially relevant to the design of icons. A perfect metaphor is the prerequisite to unmistakably associate a function with an image. This article sums up some principles how to create icons, which we derived from a study with more than 3000 LibreOffice users.</p>
<h2>Introduction</h2>
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<p lang="en-US">A lot of guide lines support designers creating icons. For example, the <a title="Microsoft Styleguide: Icons" href="http://msdn.microsoft.com/en-us/library/windows/desktop/aa511280.aspx" target="_blank">Microsoft Styleguide</a> precisely defines for Aero icons how perspective, source of light, shade, saturation, size or level of detail should be like. Similar standards have been created for most projects, e.g. the LibreOffice <a title="LibreOffice: Design/Whiteboards/Flat icon set" href="https://wiki.documentfoundation.org/Design/Whiteboards/Flat_icon_set" target="_blank">Flat Icon Set</a>. There are other, more generic lists that offer tips for icon creation (e.g <a title="7 Principles of Effective Icon Design" href="http://psd.tutsplus.com/articles/7-principles-of-effective-icon-design/" target="_blank">here</a> and <a title="10 Tips for Effective Icon Design" href="http://vector.tutsplus.com/articles/inspiration/10-tips-for-effective-icon-design/" target="_blank">here</a>).</p>
<p lang="en-US">All these guides primarily serve the creation of a consistent look-and-feel. But an icon rarely stands for itself. Therefore the integration into an icon set needs to be considered, whereby <a title="Wikipedia: Homogeneity" href="http://en.wikipedia.org/wiki/Homogeneity_%28statistics%29">homogeneity</a> (the icons of a set should belong together) and heterogeneity (within a set the risk of mix-ups should be minimized) become relevant. <a title="10 Mistakes in Icon Design" href="http://turbomilk.com/blog/cookbook/icon_design/10_mistakes_in_icon_design/" target="_blank">Here</a> is a good list on how to avoid mistakes in creating an icon set.</p>
<p lang="en-US">Along the aspects of homogeneity, heterogeneity and a graphically appropriate design, the most important premise for unambiguous symbols is the distinct association between the underlying function and its visual depiction. This relation is called a metaphor.</p>
<p lang="en-US">When creating a new set of icons the metaphors need to be defined first. They have to be a representable of the function within the whole functionality, easy to recognize and understandable. The results of a <a title="LibreOffice Icon Test: Where are the women?" href="http://user-prompt.com/libreoffice-icon-test-where-are-the-women/">study on LibreOffice icons</a> will illustrate most important aspects how to find these metaphors.</p>
<h3>1. Apply metaphors only once.</h3>
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<p lang="en-US">On the one hand an icon set should be homogeneous and show the affiliation between the items. On the other hand there should be sufficient discrimination between the elements of a set to avoid mix-ups. This problem is especially relevant if the same metaphor is used for different functions. In our LibreOffice study we found this problem in the functions <em>Format Paintbrush</em> and <em>Show Draw Functions</em>: Both use a brush as metaphor. (<a title="What is a pencil used for?" href="http://user-prompt.com/what-is-a-pencil-used-for/" target="_blank">What is a pencil used for?</a>)</p>
<table border="1" cellspacing="5">
<tbody>
<tr>
<td align="center"><img alt="" src="http://www.userweave.net/images/1421883/1?antiCache=1351157512063" width="24" height="24" name="Grafik1" align="BOTTOM" border="0" /></td>
<td align="center"><img alt="" src="http://www.userweave.net/images/1421888/1?antiCache=1351157545023" width="24" height="24" name="Grafik2" align="BOTTOM" border="0" /></td>
</tr>
<tr>
<td style="border: hidden; border-top: thin solid;" colspan="2"><em>Figure 1: The metaphor &#8220;paintbrush&#8221; is used for two different functions.<br />
</em></td>
</tr>
</tbody>
</table>
<h3>2. Rethink conventionally used metaphors.</h3>
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<p lang="en-US">A lot of metaphors have been iconized so much that they were integrated into common usage. For more than 50 years a green triangle is used for play, a gray square for stop and a red circle for record in music players (and respectively software). A little more recent, but similarly famous are some functions we investigated in the context of word processing. But in our detailed analysis of <em>Copy/Paste</em> (<a title="How abstract can an icon be? About Copy &amp; Paste in LibreOffice" href="http://user-prompt.com/how-abstract-can-an-icon-be-about-copy-paste-in-libreoffice/" rel="bookmark">How abstract can an icon be?</a>) and <em>Redo/Undo</em> (<a title="Can a direction in time be displayed by spatial signs?" href="http://user-prompt.com/can-a-direction-in-time-be-displayed-by-spatial-signs/" rel="bookmark">Can a direction in time be displayed by spatial signs?</a>) it becomes apparent that the usual depiction of these icons has a tendency for mutual mix-ups.</p>
<table border="1" cellspacing="5">
<tbody>
<tr>
<td align="center"><img alt="" src="http://www.userweave.net/images/1421881/1?antiCache=1351157500382" width="24" height="24" name="Grafik7" align="BOTTOM" border="0" /></td>
<td align="center"><img alt="" src="http://www.userweave.net/images/1421882/1?antiCache=1351157506403" width="24" height="24" name="Grafik8" align="BOTTOM" border="0" /></td>
</tr>
<tr>
<td style="border: hidden; border-top: thin solid;" colspan="2"><em>Figure 2: The metaphor for the icons copy and paste (from the tango set) do not depict their natural function.</em></td>
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</tbody>
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<p lang="en-US">Even though it is obvious that things are not working well, changes in those quasi standardized solutions should only be done with great care. However, we received a lot of interesting suggestions how to trigger these problems in the comments to our original articles. For example, the short-cuts ctrl+c and ctrl+v are so well-known that an icon might be created on the grounds of this information (see <a title="Comment #4 in posting " href="http://user-prompt.com/how-abstract-can-an-icon-be-about-copy-paste-in-libreoffice/#comment-1137">comment #4 by Robert Forsyth</a>).</p>
<h3>3. Antiquated metaphors might work well.</h3>
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<p lang="en-US">At the same time not all conventionally used metaphors need an overhaul, even when the underlying functions are not used in the same way anymore. In our study this was apparent for <em>Save</em> (<a title="About Antiquated Metaphors in Icons" href="http://user-prompt.com/about-antiquated-metaphors-in-icons/" rel="bookmark">About Antiquated Metaphors in Icons</a>). This depiction of a floppy disc is intuitively associated with its function and clearly exceeds the alternative, even though a lot of people actually never touched a floppy disc.</p>
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<tr>
<td align="center"><img alt="" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABYAAAAWCAIAAABL1vtsAAADgElEQVQ4jaXOzU8idxzH8f0vDAZXi6tFwBkeBmZghgFWu9t9MLsuLE8K+LDbXtseGkM08dau9uDBgyZC4SCJpp20sjBaLx5sE5O2W21d6xNhF8uzKMigzDDSA2O73aQe3E/ex9/3ld+16jvvWrVadTmdWhTT4TjxfSj4nAwGw1whMhhafB5eDIWXQuGlMLkUJpfIxR++C4Z1OK5Fsc8++ZQjcK2W+ObbsWdjsUyhQNF5is5TdIGiCxR9UqJPSkzxlKFOmdJZ5bRcOaPZ1FHxq7HxZ198edNg4AgMRTEUHewfiCRyxRJzclHx7eNKmWGZCnuQKXz89KMnA4N6nZ4jUI0GVqn6XX3R5FGZYRd+2r4klj2PZfJPB58M9PXrcJwj1Ajicjj7nK5X6ePz/45lzyssy1RYmqmU6cppmSmd0dHk0UBfv8vh1KIYRyAw7OjpdfY6IokcdUZf/otcobQXz7kcTkdPL6pBOUKlVNqtth6bffevbDZfOrwomy9l81TmmEofU+mjYjJXTByexLOF7Vi2195jt9o0iJojlBBkNVtsFuvW68xBJn/5LyLx3Mto2maxWs0WBIY5ApLLzUaT2Wj6I5raPTh8q52Dw+1YdjuW/fN1dutV5mU0vb6ftJgem40mWKnkCLlMZux+ZOx+9GI3vhFJbURSv0dSGxet7yfX95O/7SVf7CV+3U38shP/eSdee6+EII6QgdLuBw+vECRXcAQIAA/ud10huVTGEYCkvevuvSskA0GOkIjEd27drrW2trb1P9vc3MRQDAQAsUhUewxI2jmi7X1hp+FmLZIkP+jo1GnxD2/d/vGNra6urqysWB6bDTq9DABrj8VtbRzReqNFj2lrhcNhDFEjkBLHtP9cLi8vkyQZDAZND7sNuE4KAHpM26HTC1tbOaJZIEARda1QKIQoVZBMrlbBtcuFhQWCIObn5wOBQNe9+ziKAZJ2FFHbLdaW5maOuPGeQAFKYQUEKyCCIBRSqUgolAIAQRBzc3Ozs7N+v9/j8UxPT3d2dMAQJBK2wQqo685dQVMTR/i8XwsamwCRWA6Afr8/MBvw+Xxer9fn883MzExNTU1OTk5MTIyPj2tgBBRLWgTNcgBUgNLGhgaOqFarXo/nOp/P59W73e7R0dGRkZHh4WG32z00NPT5G2tsuM6rq+PV1fF59XxevUgo/Jd4l/0N4bmDNxu4D4MAAAAASUVORK5CYII=" width="22" height="22" /></td>
<td align="center"><img alt="" src="data:image/png;base64,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" width="24" height="24" /></td>
</tr>
<tr>
<td style="border: hidden; border-top: thin solid;" colspan="2"><em>Figure 3: The metaphor floppy disk of the oxygen set is superior to the alternative from the tango set.</em></td>
</tr>
</tbody>
</table>
<h3>4. Adjust the degree of abstractness according to familiarity of the metaphor.</h3>
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<p lang="en-US">While creating a metaphor the degree of abstraction from the original is of utmost importance. A lightning bolt can stand for &#8216;fast&#8217; or &#8216;immediate&#8217;, but at the same time it can be interpreted as energy or hazard. The guiding principle should be deemed: The better known a function, the more abstract the metaphor can be. However, less known functions need explicit metaphors and a figurative support. In LibreOffice there are a few seldom used functions (e.g. the <em>Navigator:</em> <a title="Where does the Navigator lead you?" href="http://user-prompt.com/where-does-the-navigator-lead-you/" rel="bookmark">Where does the Navigator lead you?</a>), that should be placed less prominently or require a more pictorial icon.</p>
<table border="1" cellspacing="5">
<tbody>
<tr>
<td align="center"><img alt="" src="http://www.userweave.net/images/1421889/1?antiCache=1351157552100" width="24" height="24" name="Grafik1" align="BOTTOM" border="0" /></td>
<td align="center"><img alt="" src="http://www.userweave.net/images/1489632/1?antiCache=1351166737483" width="22" height="22" name="Grafik3" align="BOTTOM" border="0" /></td>
</tr>
<tr>
<td style="border: hidden; border-top: thin solid;" colspan="2"><em>Figure 4: The Navigator icon as a stylized compass is a good abstraction of the (English) function label, but it does not describe the actual function &#8216;Show document structure&#8217;.<br />
</em></td>
</tr>
</tbody>
</table>
<h3> 5. Arrows are not specific.</h3>
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<p lang="en-US">Human action and every software procedure has an immanent sequence. It is an obvious choice to use this sequence for the depiction of the icon; for example to use a downward pointed arrow to represent the storing of data from working memory into a file (see figure 2). You can clearly see the preference of designers for arrows in the comments to our detailed articles: There were a lot of proposed solutions that apply arrows. Next to the unspecific overflow of arrows, they might be problematic in sinistrograde localizations and when the sequence is ambiguous (see <a title="Can a direction in time be displayed by spatial signs?" href="http://user-prompt.com/can-a-direction-in-time-be-displayed-by-spatial-signs/" rel="bookmark">Can a direction in time be displayed by spatial signs?</a>). Hence, when searching for a metaphor, try to avoid arrows as much as possible.</p>
<table border="1" cellspacing="5">
<tbody>
<tr>
<td align="center"><img alt="" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABYAAAAWCAIAAABL1vtsAAAAlUlEQVQ4je2SwQ0DIQwEpy4X5HpcjZtxMZsHkZKDO5SDKK/sE7GDdw3aFn/EDJESOIPCkGp9CjwBA1UsIiRFCcxBykWEJIsC0g+ue4g2SFfKPURrusvyc8RHQVJyvOv8ddsTqLDD4fjIuLamto7ZUpt//JTvOqU/ESVhMfd3858HaVGvglypr9OidhGSImoXcVdfQDwAOeL6pB6X40IAAAAASUVORK5CYII=" width="22" height="22" /></td>
<td align="center"><img alt="" src="data:image/png;base64,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" width="22" height="22" /></td>
</tr>
<tr>
<td style="border: hidden; border-top: thin solid;" colspan="2"><em>Figure 5: At first glance the left arrow might describe the function &#8216;(Show) Nonprinting Characters&#8217; accurately, but the right p<i>ilcrow</i> symbol scored optimum values in our test.<br />
</em></td>
</tr>
</tbody>
</table>
<h3>6. Define metaphors independent from language and culture.</h3>
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<p lang="en-US">Upon creating an icon, it should be considered that the original label of a function might not be understood all over the world. A well-known example is the term &#8216;Burn CD&#8217; which is translated in French as &#8216;engrave&#8217; (&#8216;Graveur CD&#8217;). Therefore icons representing this term should not be based on the metaphor of fire. Similarly, <a title="About colors in different cultures" href="http://www.informationisbeautiful.net/visualizations/colours-in-cultures/" target="_blank">colors can be understood differently</a> and even <a title="Emblems of the International Red Cross and Red Crescent Movement" href="http://en.wikipedia.org/wiki/Emblems_of_the_International_Red_Cross_and_Red_Crescent_Movement" target="_blank">pictograms are not necessarily standardized</a>. In our study this becomes apparent in the function <em>Hyperlink</em> in the Oxygen icon set. The depicted &#8216;chain link&#8217; works only in the English language and thus has a score of only 8.8 (e.g. it scores a worse 8.2 for answers in German).</p>
<table border="1" cellspacing="5">
<tbody>
<tr>
<td align="center"><img alt="" src="data:image/png;base64,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" width="22" height="22" /></td>
</tr>
<tr>
<td style="border: hidden; border-top: thin solid;" colspan="2"><em>Figure 6: The icon for hyperlink in the oxygen set is not culture independent.<br />
</em></td>
</tr>
</tbody>
</table>
<h3> 7. Make icons simple.</h3>
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<p lang="en-US">An icon should be rapidly recognized by its symbolic depiction and not be mixed-up with other icons. The simpler an illustration, the better these requirements are fulfilled. Two ways lead to these easy solutions: a perfect metaphor, like the scissor for the function <em>Cut</em> or a branding, respectively the establishment of a distinct symbolism, e.g. the logo of the Adobe Acrobat for the output of PDF documents. These icons get optimum values in the test.</p>
<table border="1" cellspacing="5">
<tbody>
<tr>
<td align="center"><img alt="" src="data:image/png;base64,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" width="22" height="22" border="1" /></td>
<td align="center"><a href="http://user-prompt.com/wp-content/uploads/cut.png"><img class="alignnone size-full wp-image-2691" alt="cut" src="http://user-prompt.com/wp-content/uploads/cut.png" width="22" height="22" /></a></td>
</tr>
<tr>
<td style="border: hidden; border-top: thin solid;" colspan="2"><em>Figure 7: Unambiguous icons are often distinguished by a plain symbolism. Both oxygen icons &#8216;Directly export as PDF&#8217; and &#8216;Cut&#8217; scored a perfect 10.</em></td>
</tr>
</tbody>
</table>
]]></content:encoded>
			<wfw:commentRss>http://user-prompt.com/semiotics-in-usability-guidelines-for-the-development-of-icon-metaphors/feed/</wfw:commentRss>
		<slash:comments>4</slash:comments>
		</item>
		<item>
		<title>How abstract can an icon be? About Copy &amp; Paste in LibreOffice</title>
		<link>http://user-prompt.com/how-abstract-can-an-icon-be-about-copy-paste-in-libreoffice/</link>
		<comments>http://user-prompt.com/how-abstract-can-an-icon-be-about-copy-paste-in-libreoffice/#comments</comments>
		<pubDate>Fri, 08 Mar 2013 07:00:03 +0000</pubDate>
		<dc:creator>Heiko Tietze</dc:creator>
				<category><![CDATA[Analyse]]></category>
		<category><![CDATA[Expertise]]></category>
		<category><![CDATA[KDE]]></category>
		<category><![CDATA[LibreOffice]]></category>
		<category><![CDATA[UserWeave]]></category>

		<guid isPermaLink="false">http://test.user-prompt.com/?p=2119</guid>
		<description><![CDATA[Functions without natural pendant need special attention, even the well known copy / paste. Designers have to analyze intrinsic functionality instead of simply visualizing computer nomenclature.]]></description>
				<content:encoded><![CDATA[<p><strong>Functions without natural pendant need special attention, even well known ones like copy &amp; paste. Designers have to analyze intrinsic functionality instead of simply visualizing computer nomenclature.</strong></p>
<p>Several software functions do not perform actions that have an equivalent in the real world. Mostly this applies to support functions that are ordinary for experts but hard to understand for novices. Whereas users intuitively translate natural processing into business logic (if it fits) they have trouble with the technological IT surrounding.</p>
<p>An example is Copy &amp; Paste. This functionality is implemented in almost every software providing the user with a clipboard. Following <a title="Wikipedia: Cut, copy, and paste" href="http://en.wikipedia.org/wiki/Copy_and_paste" target="_blank">Wikipedia</a>, &#8220;the command names are an interface metaphor based on the physical procedure used in manuscript editing to create a page layout&#8221;. We would like to scrutinize this statement. How do you think about that kind of short-term information storing in real world? Wouldn&#8217;t it be rather some kind of note that you write?</p>
<h2>Results</h2>
<p>The icon test reveals that not only novices struggle with those functions but normal users and experts as well. Results of the <a title="(EN) LibreOffice Icon Test: Where are the women?" href="http://user-prompt.com/libreoffice-icon-test-where-are-the-women/">LibreOffice Icon Test</a> are comparably weak for <em>Copy</em> and even worse for <em>Paste</em> (<a title="(EN) Methodology of Testing Icons" href="http://user-prompt.com/methodology-of-testing-icons/">read about the methodology of testing icons</a>).</p>
<p>Table1. Results of the Icon Test</p>
<table border="1">
<tbody>
<tr>
<td bgcolor="#cccccc">Term</td>
<td colspan="2" bgcolor="#cccccc">Tango</td>
<td colspan="2" bgcolor="#cccccc">Oxygen</td>
</tr>
<tr>
<td>Copy</td>
<td><img alt="" src="http://www.userweave.net/images/1421881/1?antiCache=1351157500382" width="24" height="24" name="Grafik7" align="BOTTOM" border="0" /></td>
<td>8.80</td>
<td><img alt="" src="http://www.userweave.net/images/1489624/1?antiCache=1351166677468" width="22" height="22" name="Grafik9" align="BOTTOM" border="0" /></td>
<td>8.80</td>
</tr>
<tr>
<td>Paste</td>
<td><img alt="" src="http://www.userweave.net/images/1421882/1?antiCache=1351157506403" width="24" height="24" name="Grafik8" align="BOTTOM" border="0" /></td>
<td>7.40</td>
<td><img alt="" src="http://www.userweave.net/images/1489625/1?antiCache=1351166685123" width="22" height="22" name="Grafik10" align="BOTTOM" border="0" /></td>
<td>7.40</td>
</tr>
</tbody>
</table>
<p>A detailed analysis of the icon-term assignments shows interesting mutual dependencies.</p>
<p>Table 2: Associations of term and icon in the icon test (% of all users)</p>
<table border="1">
<tbody>
<tr>
<td></td>
<td colspan="2" bgcolor="#cccccc">Tango</td>
<td colspan="2" bgcolor="#cccccc">Oxygen</td>
</tr>
<tr>
<td bgcolor="#cccccc">Term</td>
<td><img alt="" src="http://www.userweave.net/images/1421881/1?antiCache=1351157500382" width="24" height="24" name="Grafik7" align="BOTTOM" border="0" /></td>
<td> <img alt="" src="http://www.userweave.net/images/1421882/1?antiCache=1351157506403" width="24" height="24" name="Grafik8" align="BOTTOM" border="0" /></td>
<td> <img alt="" src="http://www.userweave.net/images/1489624/1?antiCache=1351166677468" width="22" height="22" name="Grafik9" align="BOTTOM" border="0" /></td>
<td><img alt="" src="http://www.userweave.net/images/1489625/1?antiCache=1351166685123" width="22" height="22" name="Grafik10" align="BOTTOM" border="0" /></td>
</tr>
<tr>
<td>Copy</td>
<td>80%</td>
<td>11%</td>
<td>79%</td>
<td>13%</td>
</tr>
<tr>
<td>Paste</td>
<td>9%</td>
<td>74%</td>
<td>7%</td>
<td>73%</td>
</tr>
</tbody>
</table>
<p><em>Copy</em> is mixed-up with <em>Paste</em> by about 10% of the participants. The Oxygen icon for <em>Copy</em> was additionally chosen from 12% of the participants as representation for the term <em>New</em>.</p>
<h2>Conclusion</h2>
<p>Both, copy and paste are frequently used functions and consequently the results are somewhat alarming. The data shows a lot of mix-ups, which may be caused by diverse reasons.</p>
<p>A lot of users will use the function short-cut Ctrl + C / V or Ctrl / Shift + Ins and therefore might not know the icons by heart. On the other hand, the function <em>Cut</em> with its short-cut Ctrl + X is probably comparable to these functions and the scissor icon gets the best possible result of 10.0 in the icon tests.</p>
<p>Another reason might be the relatively similar icons. Dual features with antagonistic or corresponding function will always cause difficulties and mix-ups. In both sets <em>Copy</em> is displayed by two sheets of paper lying on top of each other. <em>Paste</em> is just the same except that there is only one sheet on top of a clipboard. Additionally, in Oxygen there is no difference in size between the paper and the clipboard, which might explain the slightly higher mix-ups in this icon set.</p>
<p>The icons were obviously designed with the term &#8216;clipboard&#8217; in mind. But this concept is a more technical and abstract, rather than a natural one and obviously misleads users. Additionally neither of the metaphors for copy or paste are based on an action found in nature or everyday life. So, if we find a metaphor that intuitively explains the function behind the icon it might reduce the mix-ups and increase the quality of the icons for these important actions.</p>
<p><strong>Do you have suggestions for a more natural metaphor for copy and paste?</strong></p>
]]></content:encoded>
			<wfw:commentRss>http://user-prompt.com/how-abstract-can-an-icon-be-about-copy-paste-in-libreoffice/feed/</wfw:commentRss>
		<slash:comments>12</slash:comments>
		</item>
		<item>
		<title>Where does the Navigator lead you?</title>
		<link>http://user-prompt.com/where-does-the-navigator-lead-you/</link>
		<comments>http://user-prompt.com/where-does-the-navigator-lead-you/#comments</comments>
		<pubDate>Wed, 06 Mar 2013 07:00:11 +0000</pubDate>
		<dc:creator>Heiko Tietze</dc:creator>
				<category><![CDATA[Analyse]]></category>
		<category><![CDATA[KDE]]></category>
		<category><![CDATA[LibreOffice]]></category>
		<category><![CDATA[UserWeave]]></category>

		<guid isPermaLink="false">http://test.user-prompt.com/?p=2117</guid>
		<description><![CDATA[We show on the example of the Navigator and two other functions that toolbars should not be toggled on and off by a button in the main toolbar.]]></description>
				<content:encoded><![CDATA[<p><strong>We show on the example of the Navigator and two other functions that toolbars should not be toggled on and off by a button in the main toolbar.</strong></p>
<h2>Seldom used functions: Data sources, Gallery, Navigator</h2>
<p>A toolbar (here we refer to the primary, standard toolbar) is a UI element primarily designed for fast access to frequently used functions. But often it is diverted from its intended use and serves for presentation of special actions. It&#8217;s a great challenge for designers to develop an icon that fits those seldom used and probably less known functions.</p>
<p>Actually, the <a title="Navigator" href="http://help.libreoffice.org/Writer/Navigator" target="_blank"><em>Navigator</em></a> implemented in LibreOffice doesn&#8217;t provide some kind of help function as it might be understood by new users, but it shows or hides a side bar, where you can quickly jump to different parts of the document. The icon consists of an abstract star or, metaphorically, a compass rose.</p>
<p>Another seldom used function is <a title="Gallery" href="http://help.libreoffice.org/Common/Gallery" target="_blank"><em>Gallery</em></a>. This function again toggles a toolbar which allows to select pictures, wallpapers, or tones and insert them into the current document. The icon is made of a folder with a small bitmap or some kind of abstract symbol respectively. And <a title="data sources" href="https://help.libreoffice.org/Common/Data_Sources" target="_blank"><em>Data Sources</em></a> provides functions to connect, browse, and interact with database tables. The icon looks like a bar chart within a document in Tango and some kind of form in Oxygen.</p>
<h2>Results</h2>
<p>The <a title="Methodology of Testing Icons" href="http://user-prompt.com/methodology-of-testing-icons/">icon test</a> reveals that users hardly associate the function with the correct icon (cf. <a title="Permanenter Link zu Methodology of Testing Icons" href="http://user-prompt.com/methodology-of-testing-icons/" rel="bookmark">Methodology of Testing Icons</a>). The worst value of the whole icon test is found with 4.4 for <em>Data Sources</em> in Oxygen. As a rule of thumb a value below 9 is questionable.</p>
<p><em>Table 1: Results of icon test.</em></p>
<table border="1">
<tbody>
<tr>
<td bgcolor="#cccccc">Term</td>
<td colspan="2" bgcolor="#cccccc">Tango</td>
<td colspan="2" bgcolor="#cccccc">Oxygen</td>
</tr>
<tr>
<td>Navigator</td>
<td><img alt="" src="http://www.userweave.net/images/1421889/1?antiCache=1351157552100" width="24" height="24" name="Grafik1" align="BOTTOM" border="0" /></td>
<td>7.6</td>
<td><img alt="" src="http://www.userweave.net/images/1489632/1?antiCache=1351166737483" width="22" height="22" name="Grafik3" align="BOTTOM" border="0" /></td>
<td>8.4</td>
</tr>
<tr>
<td>Gallery</td>
<td><img alt="" src="http://www.userweave.net/images/1421890/1?antiCache=1351157557941" width="24" height="24" name="Grafik5" align="BOTTOM" border="0" /></td>
<td>9.6</td>
<td><img alt="" src="http://www.userweave.net/images/1489633/1?antiCache=1351166745025" width="22" height="22" name="Grafik6" align="BOTTOM" border="0" /></td>
<td>7.6</td>
</tr>
<tr>
<td>Data Sources</td>
<td><img alt="" src="http://www.userweave.net/images/1421891/1?antiCache=1351157564617" width="24" height="24" name="Grafik2" align="BOTTOM" border="0" /></td>
<td>7.8</td>
<td><img alt="" src="http://www.userweave.net/images/1489635/1?antiCache=1351166751902" width="22" height="22" name="Grafik4" align="BOTTOM" border="0" /></td>
<td>4.4</td>
</tr>
</tbody>
</table>
<p>Ambiguous metaphors lead the users to associate icons with unintended functions. Thus, the term &#8216;navigator&#8217; is associated with the hyperlink icon (18% mix-up in Tango). Yet 60% of the participants failed to associate <em>Data Sources</em> with the correct icon in Oxygen. With 15% the icon is used for <em>Navigator</em> and 18% mismatch the <em>Table</em> icon to the function. The <em>Gallery</em> icon is used for &#8216;<em>Document as E-Mail</em>&#8216; in Oxygen with 24%. Only the Tango Icon for <em>Gallery</em> is working fine.</p>
<h2>Conclusion</h2>
<p>Whereas application&#8217;s whole functionality (that does not exclusively rely on context) is located in the main menu, the intention of the toolbar is fast access to frequently used functions. Developers must not abuse it for presentation of special actions. Neither &#8216;exit&#8217; or &#8216;help&#8217; nor functions to configure the interface in terms of switching other toolbars on /off are frequently used functions and must not be added to the standard toolbar. If it is necessary to direct users to special actions or to advice a feature one should consider different interactions.</p>
<p>Designers should pay attention on familiarity as well. The better a function is introduced the more abstract an icon can be designed. In contrast, rarely used and less known functions need support by concrete pictures and expressive metaphors.</p>
<p>Two, rather simple changes may help to access functions in LibreOffice more easily. First, rename <em>Navigator</em> to &#8216;<em>Show Document Structure</em>&#8216;. By doing so the (English) verb-noun convention of function labels is met (other labels should be renamed accordingly). Moreover, misunderstandings with other functions that are related with any kind of navigation are removed. Similar advice can be given concerning the other functions.</p>
<p>Because all discussed functions just toggle toolbars on /off &#8211; and since they are presumably used rather seldom -, it should be taken into consideration to move them into a drop-down menu like suggested in <a title="What is a pencil used for?" href="http://user-prompt.com/what-is-a-pencil-used-for/">What is a pencil used for?</a> regarding <em>Show Draw Functions</em>. But nevertheless the icons and metaphors for <em>Data Sources</em> and <em>Gallery</em> need improvement.</p>
<p><strong>Do you use these functions? What&#8217;s your opinion about our suggestions, i.e. moving them to a separate menu?</strong></p>
]]></content:encoded>
			<wfw:commentRss>http://user-prompt.com/where-does-the-navigator-lead-you/feed/</wfw:commentRss>
		<slash:comments>5</slash:comments>
		</item>
		<item>
		<title>Can a direction in time be displayed by spatial signs?</title>
		<link>http://user-prompt.com/can-a-direction-in-time-be-displayed-by-spatial-signs/</link>
		<comments>http://user-prompt.com/can-a-direction-in-time-be-displayed-by-spatial-signs/#comments</comments>
		<pubDate>Mon, 04 Mar 2013 07:00:06 +0000</pubDate>
		<dc:creator>Heiko Tietze</dc:creator>
				<category><![CDATA[Analyse]]></category>
		<category><![CDATA[Expertise]]></category>
		<category><![CDATA[KDE]]></category>
		<category><![CDATA[LibreOffice]]></category>
		<category><![CDATA[UserWeave]]></category>

		<guid isPermaLink="false">http://test.user-prompt.com/?p=2092</guid>
		<description><![CDATA[It is common practice to assign left and right with sequential steps in processing. It might be surprising that these simple functions may cause problems, but it shows the relevance of psychological knowledge to usability.]]></description>
				<content:encoded><![CDATA[<p><strong title="Permanenter Link zu Why do we go back with the left arrow?">It is common practice to assign the functions <strong title="Permanenter Link zu Why do we go back with the left arrow?">Redo and Undo </strong>with left and right arrows. But those sequential steps in processing are not naturally associated with spatial orientation and get mixed up sometimes.<br />
</strong></p>
<p><em>Redo</em> and <em>Undo</em> are basic functions in almost every word processor. It is essential to be able to revisit your last actions, because human actions are error-prone. Simply using a function to go back and forth between actions is saving a lot of time and energy. The Tango and Oxygen icon sets use arrows pointing left or right. They are additionally colored yellow (Undo) and green (Redo). But these icons tend to get mixed up, as our <a title="(EN) LibreOffice Icon Test: Where are the women?" href="http://user-prompt.com/libreoffice-icon-test-where-are-the-women/">Icon Test</a> shows.</p>
<h2>Results</h2>
<p>The results with 9.6, resp. 9.4 in both icon sets, prove that icons are fast and reliable accessed (<a title="(EN) Methodology of Testing Icons" href="http://user-prompt.com/methodology-of-testing-icons/">read about the methodology of testing icons</a>).</p>
<p><em>Table 1: Results of the Icon-test.<br />
</em></p>
<table border="1">
<tbody>
<tr>
<td colspan="2" align="center" bgcolor="#cccccc">Oxygen</td>
</tr>
<tr>
<td>Redo</td>
<td><img alt="" src="data:image/png;base64,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" /></td>
</tr>
<tr>
<td>Undo</td>
<td><img alt="" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAa4AAAAuCAIAAAD/UGqhAAAP6ElEQVR4nO2deXAb1R3H3dyBkKtAEmhpCkNDE1oaEo6YKVcHAoGGpimhEBI7TlM7gUDbKUw7nXZKPQWmTNsMJYQEcomcTmJsB8eOHF/yFR+yJVm2JFuWVvctWZd1rVb9w7G8x9uVZFlaSbzP6A/r6b19b3/e/er33tvfT3kRCAQC+caTx/YAIPGBcArzCznIVJvzSvPz8/Pz80t50zmoBEh0/EmeLyQXCaYSKIXMTEjIOOP3ZnruUlIvSXXKK2VRBOMkQ7WPV0oeFcIpJF4PkHQBpZAtqGpUyqMWp63zKXeKcAozXgkzTwqj34KEUeG/VbLhGyangFLIEmAFwTkF47fJ+D3MKcVPQAGeA6Eaea5KcT6Ze2GY6lJ7xh+K3IjSDeiDaDGwkM5LIhXjlA7UKc35UjsmlMVjkOQgCzTRSUzkO6YHkiBUG0IpZAteKfAOA/hrhGqUuzjqS+Kq4TwKSv1CDhKrFxqHBOyzxOdwIZzCiQb4G37CFwYX0nlJxOJSHt0YJjul94LpTyq2QZKF2TdPxJNlW1iyD6oNoRSyCMFdA0lXLMchgnAK6aRt/C3V0WCuD+yUrk4iM/pJHweoK6BCuh7BK2ygMdANkskOMaRzOqHr/QbU86SFbWHJPqg2hFKYGfBK8+MRKdJkN6qhCdzq0yiFoENR2lDVHn8Sky2phTQ9Ajqkm/BGO51e+0wX0CtkD6oNoRRmCBMuQWJeIU21jPAK41j5Yu5oKl4hTadZ4RXCtcI0QrUhlEKWmFwQi0Qi+AkicapIuQnJBQiPxyht+MMhnML8Scmg74Xmzk9srZBYTlgrJLiCE+MBFCa+VsjQKc35xnVSaZLCqe8gsy0s2QfVhlAK2YJm8oj/gLzXCWwZ08ubnHkWlpZGHQ2mXmjvfFzP1K0YKvg5L65r/CSfsDMB2K4F9UgsJrvSNJ3Sn28cJzX9Ugh6pJThfGPBtrBkH1QbplwKMQzDsDCp1zAaCIxZ7Op6rfDTYd4f+7/e2nX6wdYjy1uPLO8+s05cvW2k9c968RcOXUvI58DCwalecBAiCSzEQyDfLFIrhQ5ts158TNn5T63okMvci4bGIpGIz4lYRqpG2v400lIwwvu5ovkJpPkxpPFhZf06Zf16VVO+uuUpdetzSMsWZWuRov0vVuUVv0vNtqGyFtA2NQQCIZFaKRxqeltUtZF/dpXg0no1//1RXZvXLjVKTw437uSfuX3w8p3KxpWGrlUO8SPe4Wf9yBY/8kvvyCan5HFzzwOqxrulVXf0nl0ubyoyyU6NOYZDAReGoWxbDAKB5CCplcKWw7cPXX3C2LtFWnuHoHx1X/mzEm6R8Ku10uo7rfx7nIPPe5S7fIb9AdvbQce+kOM3IceeoOONgO0tn36vR7HTObDR2rVSWrlMeGmtrPHNUUMHGvSwbTEIBJKDpFYKGz+eNXRlzaj4OVP3hpH6eyXVd8m4a5CmB8w9j3kUvxhT7/TrSvym/QHL/oBlX8BSHLAUByz7Apb9fuMbfl3xmGqHR77ZdH09UrdKVr16qP51o/QMGvRA3xACgUwvqZXChgN5Q19/1y1+3CPbZundoG2/V9u+ytH/jFexY0z7pk9b4tMWT750JT5diU+HK9GWjGne8A6/bOfnq699R3R++dC17aP69lDAybbdIBBITpF6Kay6w93/U+9IkVu6wyX+tWuwwCP/rRfZ61WWeJXFXkX0VeJR7PMq93qVJbjCGy+PrMAp+Lmy9k5J1X3S+uIxxxDbdkslST66EX/zFD0uB4FkIYxSJj9RMLH1+F4jfbXG92hq5TUcyJNVrXCKHnNJd7mku52SIpd0j2uo2CUvccmLnbLd9r5XzE3PGGo26Mof0Jy7T3v+h/qKtabax22tm53CnW7pb93SPW7pHrdkt6t/h6Vjnbx6Jf/cjw2Dx31OJdumSw7SY4XZtbcLNTRV4C+LrLoksh9mHSw4IZ/URKAa0n8yIYWVy0cFG0bFBaODvxmV7BmV7BmV7nEM7rb37zB1vqir24BcvFd1dgVy4hbki9mqo3PUJxdpTt+pLVtjqn3S1rZ1tK/QKdzlFBU5hbtG+c9rrv1QeG6ptO41i7wijPrZtl4SkNSEJk9NhgKlMCVQnvyGNk4jjEqIkzjSW5xDyOAv5jUcyJNVLHP0PmIXvm4X7bL3F9nFu+3iIqvgNUP7RkXlPbIzi2WnblaVz9NXzzFxZ5u5s4xVMzWnZ8g/zlMcWqo9+2Nry8v2zu2O7p2O7p327tfN7Y+ruUu7ji+Wt7zj95rYtl4SUK/0aKQV/iO8l0AXHzFeP5rTkBiFVlpaSAiywB+JFK8GSs8HiGwBljHEbEwMjEOMqQU87k0eBv6rge74+KBC0N/AliSLTeX/lwqI407keXi2YzeyD6oN45XCYON7UR+RWFgQnURTKuQ1HMiTVtxu56+39r5qFRRYRQXW/gKz4BVdx9MjNSvlVbcqvr5FWTNfdHYO/+Qc/vG5Pcfm8o/NFnJmjlycpeTMVR37tub0ahN3k63t1fGXpWWjvm4Nn7NIem27TVU3XdcgCwC+9Ce0EJxcAMGl9qNG4JLUKypw+FBbStgtsWbM9HyTIb1xBs+SDks4HV4pODsD8Tj4aDpAcO6kduCbklWRKp3kgWUKuKDpxCKD2BYWFkjGzsDmtFIYbHwPr2346TJBLolViD5iXsOBPMlXt9q6HzR3v2zmv2YWbDeLthv4L6ha1g5dWTxSc4uSe7OCe1MX52b++XUS7i5pfclA7bb+ykfFFxcNn5utPDln5NMl2gvrTVdfsDRutTRutTS8YOBuEJxZPHDlWY3gf8mYg2VoUk1RpJByw8bM1gfMTQD8O85ENZQBxpHYhlYxJx3LuNLW0nVH0guEU1jI4ZRGM9fgZJMUugw63wyCJhQ7FmzrEgskY2Vgc3opJOya5OfnA5YEY3mOeQ0H8iSXllo77je0v2jo/KWR/yuTYJu2+0mkbbW88TakaZGyfoHsys2dJ5cMNb3ptUnRoNttFqr4/+n88n7xhYUjF2bJP5mDHPu+9sIGE/clE3ez6eomfe0TAxeWii8/PNT0djLmYJm4vEJAFj8aCU2dFILSRsSWQhrFuaFiE5LEbJN4hjeudTeON66BJN+TDCATWqZAFO5EUtOwrUsskIyhgc2ZpJDkI4KXCvHaB5LCwbKbjI0rkJoH1A2PadufMfS+pBds0gmf1gof1QjvVXffhjTPF1+a31+5XtH+V79HjwY9HtuAuu9Af8WjghOzFKfmI5y7Ned/ary6zVizxVC9Wff1M8MVt4krVgkrX0zGHCwT51ohtX5avcIE0/8xV4t+Vkoz9wNsJcXwCsddQM6EshLeRCjjp+soQyC7yjCLNRPJWBrYPC4dJE6E8TNn/N/UOXQe79CS/rKFau5Cdc0y7bXv6Zp/oG//kaF7rbF3rVHwI4NgpZ5/q75jvrJurrh8uahqs8+piEQiaNDjtvQP1Gzr+nzWSNkc1dnV2ovPGa/uNHF3Gmu366tfUlbd0V+24jpndTLmYBmGHWS8EgHu6li/7DGNUkgsx61kkT2WBFIZMuyVU71RUPI+aupB4poieUpMfA9K75gp4FdHiecfC7Z1iQWSMTSweQxPEDQ1Ji4i4mpR1hLz+GVPiL5aJatejFy5SVUzX1U7T1U7T1W3UN2wRN24RNO8WNO8QNM8T9M4d7BimbBi09ioIhKJRDAsjAal9Xs7Ds8eKvuW+tJDhqpfm+pKzA37TddKDDWvIFV3CU8tbP50UTLmYBnSvJPml5zAS0e4tvFm85/yBDme9H+kMZF2kAHuLc0dDpqLAz6jzrkJXxjkoxOPCtcKIT096c9XaJJflvHe6Tr3UOvRFa1HFrYentt6aEbbZzPbDs9sPzKz7fDMtsMz2o7M6PjiJlHlzzSCg8ExSyQSlcKS9s9mSc/NUFc+Zbq619L0rrnh90ZusfbyVnn5ij7OAt6hJdN2BULSBc0y4cRnGapQkNwntVLo8xjt2g7twClV70Gk579I90dI1wdI1wdI1/tI1z+RrveR7g9U3R+q+f82DV/0WAfCqC8SiaBBt8vUI67e2nF4ruTcYh33VWvr321t/7Dw/mLk7lNVbJacX9Z7elnnl/ezbT1IojCuf0EphLBHaqWQ2t94UmsMQ7FwEAujpATXGBZGA263RYR0vd9btq7r2CJZ+U+Mre84eg86uv9ru/6hsf5tRflzwlO39p1fJaranC4rQSCQHCfdUhgZV8NwKIz6w6gfC4dw5WE06HMae5HujzpO3Hf96ALR+bs1zfttgk+cA6ecwqOO3kPG5nfl5U/1HF8quPTIcPMf0mUlCASS46RbCm94heEQhgYwNICFQxiGRSIRn8di1fYohWcGWz7oq97d9uVa/oUNw/UFdgnHJf/KPVzpkpY5B04bWt4dPP+T658v6K/aqBUeTLu5IBBIbsKWFI5PkEMYNj5HxpxWuVJU1nftb93Vb/VUlwiv7hlu+6th4LjX0OHVtXjUDR5FjUNyVt38O8HpH7R9fpukbpdd3ZB+e0EgkJyEFSm8Aa4g7DBJ5cILsp7jQ/yjStEZk6LebRL4HTKfTewz9/mMXV5di0l4RFZX1HlmTSvnwZHOjwI+e5qNlQtMYWsC7mZAvgGwJoWkQp/XZjdJzVq+3djvtsvHnKqAWxt0a/xOud8u8VmEHv11Ff9jcd1bPZcLhjr+ZdO0h3PhR0FJkWGZlyEAD9TEaQYcOQR8fBKSatiRQmphGA0G/R6fxxb0u8KoHw150YAj5DMHPdqASzlmG3TqOlXCo9Lr/5F2Hrbq+P4xW1rsk0oocRdMz9xlAlAKp43oV2AcCX4gaSHdUkhP9CEbFAsHw6gfDXnQwGjIZw169V7HkF3XaVRcMyh5Vv1gMOBNlT3SB7Ou0AdvgLIKEiIq8GkbqLn/yGEnuEYxolbIURs8Tqz8gxBmyJcATcR3HLAdu5F9UG2YOVIYia4bRtUwHPKiQScasIV85oBX7/ea/GO2gN+NhbP/F+8YL/S40v9NfgBKa0isPBndSki1kGAsM9OtC8o/CGEmzgQ/ccC2sGQfVBtmlBTiNlXCKBYOhcP+MDoWRr0YOoaF/RHi89jZTYxQ3ITywYDmUjEPMoUMN5SbM0b+QQgzTBl3IjAzTUqh2jCzpDAKISgFC1OXF7OexKQwkaQJk+kRmA5Ck0ArMSmcOItMX+TMUKBXyB5UG2aoFE6ATbxyD/orPWGvENQ2Zu6/6fAKY+QfhDAD1wrZg2rDDJfCnIZ+Bzmu9H/MaQ3pcv8xrBUSJ9qTqf+YZ+LZ9Vt9GQVowWFqO8hsC0v2QbUhlEJ2IT5XSEqTypz+jzmtIV3uP5od5MnfComWcADOICVNIVwmnBqJ/N/jgG1hyT6oNoRSmKOk6xlAuEwIyQ2gFOYoaZJC+DQhJEeAUgiBQCCp5f8Jt4nw7QpIIAAAAABJRU5ErkJggg==" /></td>
</tr>
</tbody>
</table>
<table border="1">
<tbody>
<tr>
<td colspan="2" align="center" bgcolor="#cccccc">Tango</td>
</tr>
<tr>
<td>Redo</td>
<td><img alt="" src="data:image/png;base64,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" /></td>
</tr>
<tr>
<td>Undo</td>
<td><img alt="" src="data:image/png;base64,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" /></td>
</tr>
</tbody>
</table>
<p>Looking at the assignment ratio cross table though, the difference between <em>Undo</em> and <em>Redo</em> becomes striking. With about 95% the function <em>Undo</em> is associated with the correct icon and only gets mixed up to 3-4% with the <em>Redo</em> icon. But vice versa the mismatch increases to ~14%. That means the term <em>Redo</em> is associated to a certain degree with the yellow left pointing arrow.</p>
<p><em>Table 2: Cross-table of mutual associations.</em></p>
<table border="1">
<tbody>
<tr>
<td></td>
<td colspan="2" bgcolor="#cccccc">Tango</td>
<td colspan="2" bgcolor="#cccccc">Oxygen</td>
</tr>
<tr>
<td bgcolor="#cccccc">Term</td>
<td><img alt="" src="http://www.userweave.net/images/1421884/1?antiCache=1351157518555" width="24" height="24" name="Grafik39" align="BOTTOM" border="0" /></td>
<td><img alt="" src="http://www.userweave.net/images/1421885/1?antiCache=1351157518556" width="24" height="24" name="Grafik40" align="BOTTOM" border="0" /></td>
<td><img alt="" src="http://www.userweave.net/images/1489627/1?antiCache=1351166700937" width="22" height="22" name="Grafik64" align="BOTTOM" border="0" /></td>
<td><img alt="" src="http://www.userweave.net/images/1489628/1?antiCache=1351166700937" width="22" height="22" name="Grafik65" align="BOTTOM" border="0" /></td>
</tr>
<tr>
<td>Undo</td>
<td>96%</td>
<td>3%</td>
<td>95%</td>
<td>4%</td>
</tr>
<tr>
<td>Redo</td>
<td>14%</td>
<td>85%</td>
<td>13%</td>
<td>86%</td>
</tr>
</tbody>
</table>
<h2>Discussion</h2>
<p>Introspectively you might remember the short hesitation, when you wonder which icon to press for Redo. <del></del>But why?</p>
<p>Left and right are known to be error-prone. At least with time pressure many people tend to confuse left and right. Asked for directions their hands point the correct way, but their words don’t. It needs concentration to sort it all out, and this effort can lead to mistakes. This explanation follows the idea of <a title="linguistic determination" href="http://en.wikipedia.org/wiki/Linguistic_determinism" target="_blank">linguistic determination</a>.</p>
<p>On the other hand and with <a title="ecological psychology" href="http://en.wikipedia.org/wiki/Ecological_psychology" target="_blank">ecological psychology</a> in mind, a simple explanation based on real world behavior should be preferred. The physical event of going forward is found in reading, for instance. One puts a sheet from the right and turns it over to the left. An action that is just opposite to the direction of the forward / backward icons!</p>
<p>Last but not least, the <a title="mental model" href="http://en.wikipedia.org/wiki/Mental_model" target="_blank">mental model</a> should be taken into account. The functions <em>Undo</em> and <em>Redo</em> can be understood in two different ways. First in terms of an operation stack. All input is added to the first list and moved to a second list by undo (or back with redo). Alternatively, one can assume that redo just repeats the last operation, and undo works as comparative function. These two mental models are not the same. While the stack idea contains nothing but user input, the &#8216;repeat last operation&#8217; function could be used separately (like apply last formatting in former Microsoft Office via Ctrl+Y).</p>
<h2>Conclusion</h2>
<p>Left and right, as well as forward and backward are dual aspects of one feature and need differentiation when false access should be avoided. But the common idea to go back with left is not necessarily supported in real world and could possibly be improved. Better metaphors could be found on the basis of natural processing.</p>
<p>Do you have any suggestions for a natural metaphor that represents <em>Undo</em> and <em>Redo</em> and does not rely on a direction?</p>
]]></content:encoded>
			<wfw:commentRss>http://user-prompt.com/can-a-direction-in-time-be-displayed-by-spatial-signs/feed/</wfw:commentRss>
		<slash:comments>24</slash:comments>
		</item>
		<item>
		<title>What is a pencil used for?</title>
		<link>http://user-prompt.com/what-is-a-pencil-used-for/</link>
		<comments>http://user-prompt.com/what-is-a-pencil-used-for/#comments</comments>
		<pubDate>Thu, 21 Feb 2013 14:30:35 +0000</pubDate>
		<dc:creator>Heiko Tietze</dc:creator>
				<category><![CDATA[KDE]]></category>
		<category><![CDATA[LibreOffice]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[Test]]></category>
		<category><![CDATA[UserWeave]]></category>

		<guid isPermaLink="false">http://test.user-prompt.com/?p=2121</guid>
		<description><![CDATA[Which function do you expect when you see a pencil? To draw something or perhaps fill the background... But in the context of a word processor?]]></description>
				<content:encoded><![CDATA[<p><strong>Which function do you expect when you see a pencil? To draw <strong>something</strong> or <strong>perhaps </strong>fill the background&#8230; But in the context of a word processor?<br />
</strong></p>
<h2>Functions with similar icons</h2>
<p>Instructions for icon design, including the <a title="Tango Icon Theme Guidelines" href="http://tango.freedesktop.org/Tango_Icon_Theme_Guidelines" target="_blank">Tango Icon Theme Guidelines</a> for instance, require a set of icons to be homogeneous not only in lighting, perspective etc. but also in general style and the basic idea. But, of course, every icon of the set needs to be unique and distinct from others.</p>
<p>The functions <em>Format Paintbrush</em> and <em>Show Draw Functions</em> in Libreoffice (and other word processors) are assigned to icons with a broad pencil and a small brush respectively. Actually, the function <em><a title="Copying Attributes With the Format Paintbrush" href="http://help.libreoffice.org/Common/Copying_Attributes_With_the_Format_Paintbrush" target="_blank">Format Paintbrush</a></em> is used to copy formatting of a passage and paste it somewhere else. And <em><a title="Show Draw Functions" href="http://help.libreoffice.org/Common/Show_Draw_Functions" target="_blank">Show Draw Functions</a></em> is just a switch to show or hide the toolbar for draw functions.</p>
<h2>Results</h2>
<p>When <a title="LibreOffice Icon Test: Where are the women?" href="http://user-prompt.com/libreoffice-icon-test-where-are-the-women/">we asked the users</a> which icon fits best with one of these functions the resulting values are in a questionable range (<a title="Methodology of Testing Icons" href="http://user-prompt.com/methodology-of-testing-icons/">read about user-testing of icons</a>). <em>Format Paintbrush</em> gets 8.4 and 8.2 and <em>Show Draw Functions</em> only 7.6.</p>
<p><em>Table 1: Results of Icon Test.</em></p>
<table border="1">
<tbody>
<tr>
<td bgcolor="#cccccc">Term</td>
<td colspan="2" bgcolor="#cccccc">Tango</td>
<td colspan="2" bgcolor="#cccccc">Oxygen</td>
</tr>
<tr>
<td>Format Paintbrush</td>
<td><img alt="" src="http://www.userweave.net/images/1421883/1?antiCache=1351157512063" width="24" height="24" name="Grafik1" align="BOTTOM" border="0" /></td>
<td>8.4</td>
<td><img alt="" src="http://www.userweave.net/images/1489626/1?antiCache=1351166692920" width="22" height="22" name="Grafik3" align="BOTTOM" border="0" /></td>
<td>8.2</td>
</tr>
<tr>
<td>Show Draw Functions</td>
<td><img alt="" src="http://www.userweave.net/images/1421888/1?antiCache=1351157545023" width="24" height="24" name="Grafik2" align="BOTTOM" border="0" /></td>
<td>7.6</td>
<td><img alt="" src="http://www.userweave.net/images/1489631/1?antiCache=1351166728445" width="22" height="22" name="Grafik4" align="BOTTOM" border="0" /></td>
<td>7.6</td>
</tr>
</tbody>
</table>
<p>When presented with the term <em>Format Paintbrush</em>, 14% (Tango) and 8% (Oxygen) chose the icon for <em>Show Draw Functions</em>. Vice versa 23% (Tango) and 21% (Oxygen) mixed up the icons when asked for the icon representing the term <em>Show Draw Functions</em>.</p>
<h2>Conclusion</h2>
<p>It is likely that this mix-up results from the fact that both functions utilize the brush metaphor. Either in terms of a broad paint brush (for formatting) or a small pencil (for drawing functions). And the number of bristles is a bad indicator for the underlying function.</p>
<p>The reason why <em>Format Paintbrush</em> scores slightly better than <em>Show Draw Function</em> is probably due to the term &#8216;Paintbrush&#8217; itself, which is a strong clue (at least for English language). Also, we could guess that <em>Show Draw Function</em> is simply used less often and the icon has not been learned that well.</p>
<p>Furthermore, <em>Format Paintbrush</em> doesn&#8217;t really suit the description of the function. Formatting is &#8220;cloned&#8221; by this operation. This has nothing in common with normal actions you would do with a paintbrush. So it is not only the icon that does not work &#8211; the terms used are questionable as well.</p>
<p><strong>Which implications do these results have?</strong></p>
<p>First, the question should be asked whether the drawing toolbar needs to get toggled on and off frequently. If not, the <em>Show Draw Function</em> item can well be moved to the main menu or to some other menu. Such a menu might contain all functions to show or hide toolbars whose current on/off status would be visible by their check state. <span style="color: #0000ff;"><br />
</span></p>
<p>For the <em>Format Paintbrush</em> function a better label should be found, as discussed above. But also this function is not easy to use currently. Both parts &#8211; that is to copy the format from one position and to apply it somewhere else &#8211; are conducted by the same button, toggled down in copy state. Due to the fact that a clone operation can only be conducted once (after pasting the origin is cleared), it can&#8217;t be used to repetitively format within a document. Additionally,  formatting should preferably be applied by styles. So we think that it should be taken into consideration to remove this function completely or to redesign its behavior.</p>
<p>What are your experiences? Do you have ideas of better terms or better icons for these functions? Share your thoughts in the comments!</p>
]]></content:encoded>
			<wfw:commentRss>http://user-prompt.com/what-is-a-pencil-used-for/feed/</wfw:commentRss>
		<slash:comments>11</slash:comments>
		</item>
		<item>
		<title>More is worse: About Detail in Icons</title>
		<link>http://user-prompt.com/more-is-worse-about-detail-in-icons/</link>
		<comments>http://user-prompt.com/more-is-worse-about-detail-in-icons/#comments</comments>
		<pubDate>Wed, 09 Jan 2013 21:02:12 +0000</pubDate>
		<dc:creator>Björn Balazs</dc:creator>
				<category><![CDATA[Expertise]]></category>
		<category><![CDATA[KDE]]></category>
		<category><![CDATA[LibreOffice]]></category>
		<category><![CDATA[Portfolio]]></category>
		<category><![CDATA[Profile]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[Test]]></category>

		<guid isPermaLink="false">http://user-prompt.com/?p=2689</guid>
		<description><![CDATA[A statistical analysis shows that icons with less detail score better in terms of usability.]]></description>
				<content:encoded><![CDATA[<p><strong>A statistical analysis shows that icons with less detail score better in terms of usability.</strong></p>
<p>It seems to be an easy truth: Too much detail in icons confuses the users. So we wondered whether we could find any evidence for this truth in the data of our <a title="LibreOffice Icon Test: Where are the women?" href="http://user-prompt.com/libreoffice-icon-test-where-are-the-women/">large scale test of the LibreOffice Icons</a>.</p>
<p>First we did an expert rating and sorted the icons in two groups, depending on the level of detail in the icon.</p>
<p><strong>Group 1 &#8211; Low Detail Icons</strong></p>
<p><img style="margin: 5px;" alt="copy" src="http://user-prompt.com/wp-content/uploads/copy.png" width="22" height="22" /><img style="margin: 5px;" alt="cut" src="http://user-prompt.com/wp-content/uploads/cut.png" width="22" height="22" /><img style="margin: 5px;" alt="navigator" src="http://user-prompt.com/wp-content/uploads/navigator.png" width="22" height="22" /><img style="margin: 5px;" alt="new" src="http://user-prompt.com/wp-content/uploads/new.png" width="22" height="22" /><img style="margin: 5px;" alt="nonprinting" src="http://user-prompt.com/wp-content/uploads/nonprinting.png" width="22" height="22" /><img style="margin: 5px;" alt="pdf" src="http://user-prompt.com/wp-content/uploads/pdf.png" width="22" height="22" /><img style="margin: 5px;" alt="redo" src="http://user-prompt.com/wp-content/uploads/redo.png" width="22" height="22" /><img style="margin: 5px;" alt="save" src="http://user-prompt.com/wp-content/uploads/save.png" width="22" height="22" /><img style="margin: 5px;" alt="table" src="http://user-prompt.com/wp-content/uploads/table.png" width="22" height="22" /><img style="margin: 5px;" alt="undo" src="http://user-prompt.com/wp-content/uploads/undo.png" width="22" height="22" /><img style="margin: 5px;" alt="DocAsEmail" src="http://user-prompt.com/wp-content/uploads/DocAsEmail.png" width="24" height="24" /> <img style="margin: 5px;" alt="copy" src="http://user-prompt.com/wp-content/uploads/copy1.png" width="24" height="24" /> <img style="margin: 5px;" alt="cut" src="http://user-prompt.com/wp-content/uploads/cut1.png" width="24" height="24" /> <img style="margin: 5px;" alt="navigator" src="http://user-prompt.com/wp-content/uploads/navigator1.png" width="24" height="24" /> <img style="margin: 5px;" alt="new" src="http://user-prompt.com/wp-content/uploads/new1.png" width="24" height="24" /> <img style="margin: 5px;" alt="nonprinting" src="http://user-prompt.com/wp-content/uploads/nonprinting1.png" width="24" height="24" /> <img style="margin: 5px;" alt="pdf" src="http://user-prompt.com/wp-content/uploads/pdf1.png" width="24" height="24" /> <img style="margin: 5px;" alt="redo" src="http://user-prompt.com/wp-content/uploads/redo1.png" width="24" height="24" /> <img style="margin: 5px;" alt="table" src="http://user-prompt.com/wp-content/uploads/table1.png" width="24" height="24" /> <img style="margin: 5px;" alt="undo" src="http://user-prompt.com/wp-content/uploads/undo1.png" width="24" height="24" /></p>
<p><strong>Group 2 &#8211; High Detail Icons</strong></p>
<p><img style="margin: 5px;" alt="data" src="http://user-prompt.com/wp-content/uploads/data.png" width="22" height="22" /> <img style="margin: 5px;" alt="draw" src="http://user-prompt.com/wp-content/uploads/draw1.png" width="22" height="22" /> <img style="margin: 5px;" alt="edit" src="http://user-prompt.com/wp-content/uploads/edit1.png" width="22" height="22" /> <img style="margin: 5px;" alt="email" src="http://user-prompt.com/wp-content/uploads/email.png" width="22" height="22" /> <img style="margin: 5px;" alt="format" src="http://user-prompt.com/wp-content/uploads/format1.png" width="22" height="22" /> <img style="margin: 5px;" alt="gallery" src="http://user-prompt.com/wp-content/uploads/gallery1.png" width="22" height="22" /> <img style="margin: 5px;" alt="help" src="http://user-prompt.com/wp-content/uploads/help1.png" width="22" height="22" /> <img style="margin: 5px;" alt="link" src="http://user-prompt.com/wp-content/uploads/link.png" width="22" height="22" /> <img style="margin: 5px;" alt="open" src="http://user-prompt.com/wp-content/uploads/open1.png" width="22" height="22" /> <img style="margin: 5px;" alt="paste" src="http://user-prompt.com/wp-content/uploads/paste1.png" width="22" height="22" /> <img style="margin: 5px;" alt="preview" src="http://user-prompt.com/wp-content/uploads/preview1.png" width="22" height="22" /> <img style="margin: 5px;" alt="print" src="http://user-prompt.com/wp-content/uploads/print1.png" width="22" height="22" /> <img style="margin: 5px;" alt="spellcheck" src="http://user-prompt.com/wp-content/uploads/spellcheck1.png" width="22" height="22" /> <img style="margin: 5px;" alt="spelling" src="http://user-prompt.com/wp-content/uploads/spelling1.png" width="22" height="22" /><img style="margin: 5px;" alt="datasources" src="http://user-prompt.com/wp-content/uploads/datasources.png" width="24" height="24" /> <img style="margin: 5px;" alt="draw" src="http://user-prompt.com/wp-content/uploads/draw.png" width="24" height="24" /> <img style="margin: 5px;" alt="edit" src="http://user-prompt.com/wp-content/uploads/edit.png" width="24" height="24" /> <img style="margin: 5px;" alt="format" src="http://user-prompt.com/wp-content/uploads/format.png" width="24" height="24" /> <img style="margin: 5px;" alt="gallery" src="http://user-prompt.com/wp-content/uploads/gallery.png" width="24" height="24" /> <img style="margin: 5px;" alt="help" src="http://user-prompt.com/wp-content/uploads/help.png" width="24" height="24" /> <img style="margin: 5px;" alt="hyperlink" src="http://user-prompt.com/wp-content/uploads/hyperlink.png" width="24" height="24" /> <img style="margin: 5px;" alt="open" src="http://user-prompt.com/wp-content/uploads/open.png" width="24" height="24" /> <img style="margin: 5px;" alt="paste" src="http://user-prompt.com/wp-content/uploads/paste.png" width="24" height="24" /> <img style="margin: 5px;" alt="preview" src="http://user-prompt.com/wp-content/uploads/preview.png" width="24" height="24" /> <img style="margin: 5px;" alt="print" src="http://user-prompt.com/wp-content/uploads/print.png" width="24" height="24" /> <img style="margin: 5px;" alt="save" src="http://user-prompt.com/wp-content/uploads/save1.png" width="24" height="24" /> <img style="margin: 5px;" alt="spellcheck" src="http://user-prompt.com/wp-content/uploads/spellcheck.png" width="24" height="24" /> <img style="margin: 5px;" alt="spelling" src="http://user-prompt.com/wp-content/uploads/spelling.png" width="24" height="24" /></p>
<h3>Some Statistics</h3>
<p>Next we did a plot of the ratings the icons in the different groups achieved. The higher the value, the better the icon (<a title="Methodology of Testing Icons" href="http://user-prompt.com/methodology-of-testing-icons/">read about the methodology of testing icons</a>):</p>
<p><img class="aligncenter size-full wp-image-2739" alt="Boxplot_HighLowDetail" src="http://user-prompt.com/wp-content/uploads/Boxplot_HighLowDetail.png" width="434" height="389" /></p>
<p>It looks like the two groups are actually different &#8211; but to prove this, just looking is not enough, some calculations are needed. So we did a <a title="Mann-Whitney U Test on Wikipedia" href="https://en.wikipedia.org/wiki/Mann%E2%80%93Whitney_U" target="_blank">Mann-Whitney-U Test</a> and the value Z=4.015 shows that these two groups are actually different on a significance level of p<0.001.</p>
<h3>What do we learn from this?</h3>
<p>Whenever you create icons, try to be as iconic as possible &#8211; or to phrase it differently: try to remove as much details from your icons as possible. It is likely that the quality of your icons will win.</p>
<h3>More Information</h3>
<p>As always you can find the raw results of the icon test in the LibreOffice Project on <a title="Open Usability Platform" href="http://www.userweave.net" target="_blank">UserWeave</a>. You are happily invited to make up your own mind and to discuss the results with us.</p>
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		<slash:comments>18</slash:comments>
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		<item>
		<title>About Antiquated Metaphors in Icons</title>
		<link>http://user-prompt.com/about-antiquated-metaphors-in-icons/</link>
		<comments>http://user-prompt.com/about-antiquated-metaphors-in-icons/#comments</comments>
		<pubDate>Wed, 19 Dec 2012 19:15:07 +0000</pubDate>
		<dc:creator>Björn Balazs</dc:creator>
				<category><![CDATA[Analyse]]></category>
		<category><![CDATA[KDE]]></category>
		<category><![CDATA[LibreOffice]]></category>
		<category><![CDATA[Research]]></category>

		<guid isPermaLink="false">http://user-prompt.com/?p=2328</guid>
		<description><![CDATA[Antiquated metaphors in icons can work better than modern, but complicated ones. This can be shown on the example of the 'save' icon.]]></description>
				<content:encoded><![CDATA[<p><strong>Antiquated metaphors in icons can work better than modern, but complicated ones. This can be shown on the example of the &#8216;save&#8217; icon.</strong></p>
<p title="LibreOffice Icon Test: Where are the women?">A lot of the Tango and Oxygen icons that are used in the standard tool bar in LibreOffice Writer are based on the same metaphor. From the icons that differ in metaphor, the icons used for &#8216;Saving a document&#8217; are especially interesting. This is one result of the <a title="LibreOffice Icon Test: Where are the women?" href="http://user-prompt.com/libreoffice-icon-test-where-are-the-women/">large scale icon test of LibreOffice Writer icons</a> (<a title="Methodology of Testing Icons" href="http://user-prompt.com/methodology-of-testing-icons/">read about the methodology of testing icons</a>).</p>
<p>In our work with different projects we have often been asked why antiquated metaphors are still used in icon design. Examples of these antiquated icons could be the shiny metal container representing a database or the floppy disc for saving data. Younger people might not even have seen either of the originals.</p>
<h3>Use a floppy disc to represent &#8216;save&#8217;</h3>
<p>As the Oxygen icon used for saving is a floppy disc, while the Tango icon is a filing cabinet with an inwards pointing arrow, we were especially curious for the performance of these two icons. Would younger users prefer the cabinet as they might not know what a floppy disc is?</p>
<p>The results are stunning. There was not the slightest problem with using the floppy disc, while the filing cabinet metaphor more or less failed:</p>
<p><img class="alignright size-full wp-image-2329" title="TangoSave" src="http://user-prompt.com/wp-content/uploads/TangoSave.png" alt="" width="440" height="55" /><img class="alignright size-full wp-image-2330" title="OxygenSave" src="http://user-prompt.com/wp-content/uploads/OxygenSave.png" alt="" width="440" height="55" /></p>
<p>Even when looking at the group of young users the results do not change significantly and the antiquated floppy disc still scores a perfect 10.0. The filing cabinet scores higher with younger than with older users though, but still not reaching acceptable values.</p>
<p>As a conclusion we strongly advise you not to try to find a substitute for the floppy disc to represent the &#8216;save&#8217; action.</p>
<h3>Is a filing cabinet even more antiquated?</h3>
<p>Even though the data does not allow us to draw direct conclusion about the rational behind it, we think there might be two major problems with using the filing cabinet metaphor:</p>
<ul>
<li>It is likely that esp. younger people do not know what a filing cabinet actually is. They are not used to storing paper data or do have access to a filing cabinet. So improving the icon to such a metaphor does not make it easier for younger users, but makes it harder for older users.</li>
<li>There is too much detail in the cabinet icon in respect to its size. The significant longer time people needed to identify the icon as the right one indicate that they first had to reason about it and disassemble it into its meaningful parts to be able to read it. The floppy disc on the other hand is a clear and simple icon (We will publish a discussion about detail in an icon soon).</li>
</ul>
<h3>We should use the floppy disc icon for future version of the Tango icons in LibreOffice.</h3>
<p>You are invited to take a look at the raw results of this study in the LibreOffice project on <a title="Open Usability Plattform" href="http://user-prompt.com/?page_id=2179" target="_blank">UserWeave.net</a> and discuss with us in the comments.</p>
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		<slash:comments>21</slash:comments>
		</item>
		<item>
		<title>LibreOffice Icon Test: Where are the women?</title>
		<link>http://user-prompt.com/libreoffice-icon-test-where-are-the-women/</link>
		<comments>http://user-prompt.com/libreoffice-icon-test-where-are-the-women/#comments</comments>
		<pubDate>Mon, 17 Dec 2012 20:36:28 +0000</pubDate>
		<dc:creator>Björn Balazs</dc:creator>
				<category><![CDATA[KDE]]></category>
		<category><![CDATA[LibreOffice]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[Test]]></category>

		<guid isPermaLink="false">http://test.user-prompt.com/?p=2174</guid>
		<description><![CDATA[More than 3000 users took part in the first two LibreOffice icon tests. The demographics prove us to have gathered reliable data.]]></description>
				<content:encoded><![CDATA[<p><strong>More than 3000 users took part in the first two <strong>LibreOffice </strong>icon tests. The demographics prove us to have gathered reliable data.</strong></p>
<p>What a vivid community! We asked the users of LibreOffice to take part in our Icon Tests and about 1500 participants joined each of the tests within a week. The first test used the Tango, the second the Oxygen icon set.</p>
<p>For the tests we used the tool tip of the icon within LibreOffice Writer as stimulus. They were presented randomly along all 24 icons (<a title="Methodology of Testing Icons" href="http://user-prompt.com/methodology-of-testing-icons/" target="_blank">read more about the methodology of testing icons</a>). In both test we asked the same demographic questions to be able to describe the population that took part.</p>
<h3>Great User Feedback</h3>
<p>In total 1998 participants started the Tango test and 1493 finished it. This „responder quote“ of 74% is fairly high for an online study that takes some minutes. In the Oxygen study 2527 participants started and 1645 finished. The drop out of about 35% is still good for online studies.</p>
<p>The second study attracted more people because we got a contributor who translated it into Spanish (see Table 5 below). Next to this both studies were run in English, French, German, Hebrew, Italian and Polish. So if you want to help us to conduct the next survey in your language as well &#8211; and hence to increase your cultural impact &#8211; just <a title="Mail Björn Balazs" href="mailto:Bjoern.Balazs@user-prompt.com">drop me a mail</a>.</p>
<p>The population of users is about equal in both studies. Most users are below 40 years old as you can see from Table 1.</p>
<p><em>Table 1: Age distribution<br />
</em></p>
<table border="1" cellspacing="0">
<tbody>
<tr valign="TOP">
<td bgcolor="#cccccc">Age</td>
<td style="text-align: right;" bgcolor="#cccccc">Tango (in %)</td>
<td style="text-align: right;" bgcolor="#cccccc">Oxygen (in %)</td>
</tr>
<tr valign="TOP">
<td style="text-align: left;">0-20</td>
<td style="text-align: right;">7</td>
<td style="text-align: right;">9</td>
</tr>
<tr valign="TOP">
<td style="text-align: left;">20-30</td>
<td style="text-align: right;">44</td>
<td style="text-align: right;">53</td>
</tr>
<tr valign="TOP">
<td>30-40</td>
<td style="text-align: right;">27</td>
<td style="text-align: right;">24</td>
</tr>
<tr valign="TOP">
<td>40-50</td>
<td style="text-align: right;">13</td>
<td style="text-align: right;">9</td>
</tr>
<tr valign="TOP">
<td>50-60</td>
<td style="text-align: right;">6</td>
<td style="text-align: right;">4</td>
</tr>
<tr valign="TOP">
<td>60+</td>
<td style="text-align: right;">2</td>
<td style="text-align: right;">2</td>
</tr>
</tbody>
</table>
<h3>Where are the women?</h3>
<p>Table 2 shows the typical bias towards a male population in free software surveys. If you have any idea how to get a better ration here, please use the comments to share it!</p>
<p><em>Table 2: Sex distribution</em></p>
<table border="1" cellspacing="0">
<tbody>
<tr valign="TOP">
<td bgcolor="#cccccc">Sex</td>
<td style="text-align: right;" bgcolor="#cccccc">Tango (in %)</td>
<td style="text-align: right;" bgcolor="#cccccc">Oxygen (in %)</td>
</tr>
<tr valign="TOP">
<td>Female</td>
<td style="text-align: right;">2</td>
<td style="text-align: right;">3</td>
</tr>
<tr valign="TOP">
<td>Male</td>
<td style="text-align: right;">98</td>
<td style="text-align: right;">97</td>
</tr>
</tbody>
</table>
<p>In Table 3 you can see that users use Writer and Calc on a very frequent base. Impress still gets quite high ratio of usage but the other applications Draw, Base and Maths are only used rarely</p>
<p><em>Table 3: Usage of LibreOffice Components<br />
</em></p>
<table border="1" cellspacing="0">
<tbody>
<tr valign="BOTTOM">
<td bgcolor="#cccccc">Usage of</td>
<td style="text-align: right;" bgcolor="#cccccc">Tango<br />
(mean; 1=never, 5=daily)</td>
<td style="text-align: right;" bgcolor="#cccccc">Oxygen<br />
(mean; 1=never, 5=daily)</td>
</tr>
<tr valign="TOP">
<td>Writer</td>
<td style="text-align: right;">3.82</td>
<td style="text-align: right;">3.79</td>
</tr>
<tr valign="TOP">
<td>Calc</td>
<td style="text-align: right;">3.32</td>
<td style="text-align: right;">3.17</td>
</tr>
<tr valign="TOP">
<td>Impress</td>
<td style="text-align: right;">2.21</td>
<td style="text-align: right;">2.28</td>
</tr>
<tr valign="TOP">
<td>Draw</td>
<td style="text-align: right;">1.89</td>
<td style="text-align: right;">1.86</td>
</tr>
<tr valign="TOP">
<td>Base</td>
<td style="text-align: right;">1.43</td>
<td style="text-align: right;">1.47</td>
</tr>
<tr valign="TOP">
<td>Math</td>
<td style="text-align: right;">1.65</td>
<td style="text-align: right;">1.75</td>
</tr>
</tbody>
</table>
<p>The typical user we reached uses a Linux Machine. Table 4 lists the details.</p>
<p><em>Table 4: Usage of operating systems<br />
</em></p>
<table border="1" cellspacing="0">
<tbody>
<tr valign="BOTTOM">
<td bgcolor="#cccccc">OS</td>
<td style="text-align: right;" bgcolor="#cccccc">Tango (in %)</td>
<td style="text-align: right;" bgcolor="#cccccc">Oxygen (in %)</td>
</tr>
<tr valign="TOP">
<td>Windows</td>
<td style="text-align: right;">21</td>
<td style="text-align: right;">17</td>
</tr>
<tr valign="TOP">
<td>Mac OS</td>
<td style="text-align: right;">4</td>
<td style="text-align: right;">3</td>
</tr>
<tr valign="TOP">
<td>Linux (KDE)</td>
<td style="text-align: right;">36</td>
<td style="text-align: right;">42</td>
</tr>
<tr valign="TOP">
<td>Linux (Gnome)</td>
<td style="text-align: right;">36</td>
<td style="text-align: right;">35</td>
</tr>
<tr valign="TOP">
<td>Other</td>
<td style="text-align: right;">3</td>
<td style="text-align: right;">4</td>
</tr>
</tbody>
</table>
<h3>LibreOffice all over the world</h3>
<p>Last you can see in the rather lengthy Table 5 that we got feedback from over 100 countries. Here you can see how much more users we got from Spanish speaking countries in the Oxygen test, proving how important localisation of the tests is.</p>
<p><em>Table 5: Countries of origin of the participants<br />
</em></p>
<table border="1" cellspacing="0">
<tbody>
<tr valign="BOTTOM">
<td bgcolor="#cccccc">Country</td>
<td style="text-align: right;" bgcolor="#cccccc">Tango (No. of participants)</td>
<td style="text-align: right;" bgcolor="#cccccc">Oxygen (No. of participants)</td>
</tr>
<tr>
<td>Afghanistan</td>
<td style="text-align: right;">2</td>
<td style="text-align: right;"></td>
</tr>
<tr>
<td>Albania</td>
<td style="text-align: right;">1</td>
<td style="text-align: right;"></td>
</tr>
<tr>
<td>American Samoa</td>
<td style="text-align: right;">1</td>
<td style="text-align: right;"></td>
</tr>
<tr>
<td>Andorra</td>
<td style="text-align: right;">1</td>
<td style="text-align: right;">1</td>
</tr>
<tr>
<td>Argentina</td>
<td style="text-align: right;">14</td>
<td style="text-align: right;">106</td>
</tr>
<tr>
<td>Armenia</td>
<td style="text-align: right;">1</td>
<td style="text-align: right;"></td>
</tr>
<tr>
<td>Australia</td>
<td style="text-align: right;">12</td>
<td style="text-align: right;">11</td>
</tr>
<tr>
<td>Austria</td>
<td style="text-align: right;">14</td>
<td style="text-align: right;">16</td>
</tr>
<tr>
<td>Belarus</td>
<td style="text-align: right;">7</td>
<td style="text-align: right;">1</td>
</tr>
<tr>
<td>Belgium</td>
<td style="text-align: right;">21</td>
<td style="text-align: right;">26</td>
</tr>
<tr>
<td>Bolivia</td>
<td style="text-align: right;"></td>
<td style="text-align: right;">2</td>
</tr>
<tr>
<td>Bosnia and Herzegovina</td>
<td style="text-align: right;">2</td>
<td style="text-align: right;">1</td>
</tr>
<tr>
<td>Bouvet Island</td>
<td style="text-align: right;">1</td>
<td style="text-align: right;"></td>
</tr>
<tr>
<td>Brazil</td>
<td style="text-align: right;">35</td>
<td style="text-align: right;">31</td>
</tr>
<tr>
<td>Bulgaria</td>
<td style="text-align: right;"></td>
<td style="text-align: right;">1</td>
</tr>
<tr>
<td>Cambodia</td>
<td style="text-align: right;"></td>
<td style="text-align: right;">1</td>
</tr>
<tr>
<td>Canada</td>
<td style="text-align: right;">30</td>
<td style="text-align: right;">20</td>
</tr>
<tr>
<td>Chile</td>
<td style="text-align: right;">6</td>
<td style="text-align: right;">36</td>
</tr>
<tr>
<td>China</td>
<td style="text-align: right;">3</td>
<td style="text-align: right;">3</td>
</tr>
<tr>
<td>Cocos (Keeling) Islands</td>
<td style="text-align: right;">1</td>
<td style="text-align: right;"></td>
</tr>
<tr>
<td>Colombia</td>
<td style="text-align: right;">4</td>
<td style="text-align: right;">49</td>
</tr>
<tr>
<td>Costa Rica</td>
<td style="text-align: right;">2</td>
<td style="text-align: right;">5</td>
</tr>
<tr>
<td>Croatia</td>
<td style="text-align: right;">3</td>
<td style="text-align: right;"></td>
</tr>
<tr>
<td>Cuba</td>
<td style="text-align: right;"></td>
<td style="text-align: right;">24</td>
</tr>
<tr>
<td>Czech Republic</td>
<td style="text-align: right;">16</td>
<td style="text-align: right;">12</td>
</tr>
<tr>
<td>Denmark</td>
<td style="text-align: right;">35</td>
<td style="text-align: right;">28</td>
</tr>
<tr>
<td>Dominica</td>
<td style="text-align: right;"></td>
<td style="text-align: right;">1</td>
</tr>
<tr>
<td>Dominican Republic</td>
<td style="text-align: right;"></td>
<td style="text-align: right;">5</td>
</tr>
<tr>
<td>Ecuador</td>
<td style="text-align: right;"></td>
<td style="text-align: right;">8</td>
</tr>
<tr>
<td>Egypt</td>
<td style="text-align: right;"></td>
<td style="text-align: right;">1</td>
</tr>
<tr>
<td>El Salvador</td>
<td style="text-align: right;">1</td>
<td style="text-align: right;">17</td>
</tr>
<tr>
<td>Estonia</td>
<td style="text-align: right;">2</td>
<td style="text-align: right;">3</td>
</tr>
<tr>
<td>Ethiopia</td>
<td style="text-align: right;">1</td>
<td style="text-align: right;"></td>
</tr>
<tr>
<td>Fiji</td>
<td style="text-align: right;">1</td>
<td style="text-align: right;"></td>
</tr>
<tr>
<td>Finland</td>
<td style="text-align: right;">8</td>
<td style="text-align: right;">12</td>
</tr>
<tr>
<td>France</td>
<td style="text-align: right;">105</td>
<td style="text-align: right;">57</td>
</tr>
<tr>
<td>French Guiana</td>
<td style="text-align: right;">1</td>
<td style="text-align: right;"></td>
</tr>
<tr>
<td>French Polynesia</td>
<td style="text-align: right;">2</td>
<td style="text-align: right;"></td>
</tr>
<tr>
<td>Germany</td>
<td style="text-align: right;">179</td>
<td style="text-align: right;">172</td>
</tr>
<tr>
<td>Gibraltar</td>
<td style="text-align: right;"></td>
<td style="text-align: right;">1</td>
</tr>
<tr>
<td>Greece</td>
<td style="text-align: right;">4</td>
<td style="text-align: right;">5</td>
</tr>
<tr>
<td>Greenland</td>
<td style="text-align: right;">1</td>
<td style="text-align: right;">1</td>
</tr>
<tr>
<td>Guatemala</td>
<td style="text-align: right;"></td>
<td style="text-align: right;">5</td>
</tr>
<tr>
<td>Honduras</td>
<td style="text-align: right;"></td>
<td style="text-align: right;">3</td>
</tr>
<tr>
<td>Hong Kong</td>
<td style="text-align: right;">1</td>
<td style="text-align: right;">1</td>
</tr>
<tr>
<td>Hungary</td>
<td style="text-align: right;">12</td>
<td style="text-align: right;">9</td>
</tr>
<tr>
<td>Iceland</td>
<td style="text-align: right;">2</td>
<td style="text-align: right;">1</td>
</tr>
<tr>
<td>India</td>
<td style="text-align: right;">10</td>
<td style="text-align: right;">6</td>
</tr>
<tr>
<td>Indonesia</td>
<td style="text-align: right;">6</td>
<td style="text-align: right;">2</td>
</tr>
<tr>
<td>Ireland</td>
<td style="text-align: right;">3</td>
<td style="text-align: right;">2</td>
</tr>
<tr>
<td>Israel</td>
<td style="text-align: right;">44</td>
<td style="text-align: right;">5</td>
</tr>
<tr>
<td>Italy</td>
<td style="text-align: right;">241</td>
<td style="text-align: right;">35</td>
</tr>
<tr>
<td>Jamaica</td>
<td style="text-align: right;">1</td>
<td style="text-align: right;"></td>
</tr>
<tr>
<td>Japan</td>
<td style="text-align: right;">16</td>
<td style="text-align: right;">11</td>
</tr>
<tr>
<td>Jersey</td>
<td style="text-align: right;">1</td>
<td style="text-align: right;"></td>
</tr>
<tr>
<td>Kazakhstan</td>
<td style="text-align: right;">1</td>
<td style="text-align: right;"></td>
</tr>
<tr>
<td>Kenya</td>
<td style="text-align: right;">1</td>
<td style="text-align: right;"></td>
</tr>
<tr>
<td>Latvia</td>
<td style="text-align: right;">4</td>
<td style="text-align: right;">2</td>
</tr>
<tr>
<td>Lebanon</td>
<td style="text-align: right;">1</td>
<td style="text-align: right;">2</td>
</tr>
<tr>
<td>Lithuania</td>
<td style="text-align: right;">6</td>
<td style="text-align: right;">3</td>
</tr>
<tr>
<td>Luxembourg</td>
<td style="text-align: right;">1</td>
<td style="text-align: right;">1</td>
</tr>
<tr>
<td>Macedonia</td>
<td style="text-align: right;">1</td>
<td style="text-align: right;">1</td>
</tr>
<tr>
<td>Malaysia</td>
<td style="text-align: right;">2</td>
<td style="text-align: right;"></td>
</tr>
<tr>
<td>Malta</td>
<td style="text-align: right;">1</td>
<td style="text-align: right;"></td>
</tr>
<tr>
<td>Mauritius</td>
<td style="text-align: right;"></td>
<td style="text-align: right;">1</td>
</tr>
<tr>
<td>Mexico</td>
<td style="text-align: right;">7</td>
<td style="text-align: right;">95</td>
</tr>
<tr>
<td>Moldova</td>
<td style="text-align: right;">2</td>
<td style="text-align: right;">2</td>
</tr>
<tr>
<td>Morocco</td>
<td style="text-align: right;">1</td>
<td style="text-align: right;">1</td>
</tr>
<tr>
<td>Netherlands</td>
<td style="text-align: right;">18</td>
<td style="text-align: right;">37</td>
</tr>
<tr>
<td>New Zealand</td>
<td style="text-align: right;">3</td>
<td style="text-align: right;">3</td>
</tr>
<tr>
<td>Nicaragua</td>
<td style="text-align: right;"></td>
<td style="text-align: right;">2</td>
</tr>
<tr>
<td>Niue</td>
<td style="text-align: right;"></td>
<td style="text-align: right;">1</td>
</tr>
<tr>
<td>Norway</td>
<td style="text-align: right;">5</td>
<td style="text-align: right;">3</td>
</tr>
<tr>
<td>Panama</td>
<td style="text-align: right;">1</td>
<td style="text-align: right;">5</td>
</tr>
<tr>
<td>Paraguay</td>
<td style="text-align: right;">1</td>
<td style="text-align: right;"></td>
</tr>
<tr>
<td>Peru</td>
<td style="text-align: right;"></td>
<td style="text-align: right;">16</td>
</tr>
<tr>
<td>Poland</td>
<td style="text-align: right;">26</td>
<td style="text-align: right;">30</td>
</tr>
<tr>
<td>Portugal</td>
<td style="text-align: right;">18</td>
<td style="text-align: right;">8</td>
</tr>
<tr>
<td>Puerto Rico</td>
<td style="text-align: right;"></td>
<td style="text-align: right;">4</td>
</tr>
<tr>
<td>Romania</td>
<td style="text-align: right;">11</td>
<td style="text-align: right;">6</td>
</tr>
<tr>
<td>Russia</td>
<td style="text-align: right;">204</td>
<td style="text-align: right;">237</td>
</tr>
<tr>
<td>Saudi Arabia</td>
<td style="text-align: right;"></td>
<td style="text-align: right;">1</td>
</tr>
<tr>
<td>Serbia</td>
<td style="text-align: right;">1</td>
<td style="text-align: right;">2</td>
</tr>
<tr>
<td>Singapore</td>
<td style="text-align: right;">1</td>
<td style="text-align: right;"></td>
</tr>
<tr>
<td>Slovakia</td>
<td style="text-align: right;">3</td>
<td style="text-align: right;">2</td>
</tr>
<tr>
<td>Slovenia</td>
<td style="text-align: right;">10</td>
<td style="text-align: right;">9</td>
</tr>
<tr>
<td>South Africa</td>
<td style="text-align: right;">4</td>
<td style="text-align: right;">2</td>
</tr>
<tr>
<td>South Sudan</td>
<td style="text-align: right;">1</td>
<td style="text-align: right;"></td>
</tr>
<tr>
<td>Spain</td>
<td style="text-align: right;">31</td>
<td style="text-align: right;">179</td>
</tr>
<tr>
<td>Sri Lanka</td>
<td style="text-align: right;">1</td>
<td style="text-align: right;"></td>
</tr>
<tr>
<td>Sweden</td>
<td style="text-align: right;">19</td>
<td style="text-align: right;">13</td>
</tr>
<tr>
<td>Switzerland</td>
<td style="text-align: right;">19</td>
<td style="text-align: right;">9</td>
</tr>
<tr>
<td>Taiwan</td>
<td style="text-align: right;">3</td>
<td style="text-align: right;"></td>
</tr>
<tr>
<td>Tanzania</td>
<td style="text-align: right;"></td>
<td style="text-align: right;">1</td>
</tr>
<tr>
<td>Thailand</td>
<td style="text-align: right;">2</td>
<td style="text-align: right;">1</td>
</tr>
<tr>
<td>Turkey</td>
<td style="text-align: right;">11</td>
<td style="text-align: right;">7</td>
</tr>
<tr>
<td>Ukraine</td>
<td style="text-align: right;">37</td>
<td style="text-align: right;">46</td>
</tr>
<tr>
<td>United Arab Emirates</td>
<td style="text-align: right;">1</td>
<td style="text-align: right;"></td>
</tr>
<tr>
<td>United Kingdom</td>
<td style="text-align: right;">55</td>
<td style="text-align: right;">48</td>
</tr>
<tr>
<td>United States</td>
<td style="text-align: right;">80</td>
<td style="text-align: right;">65</td>
</tr>
<tr>
<td>Uruguay</td>
<td style="text-align: right;">1</td>
<td style="text-align: right;">8</td>
</tr>
<tr>
<td>Uzbekistan</td>
<td style="text-align: right;">1</td>
<td style="text-align: right;">1</td>
</tr>
<tr>
<td>Venezuela</td>
<td style="text-align: right;"></td>
<td style="text-align: right;">15</td>
</tr>
<tr>
<td>Zimbabwe</td>
<td style="text-align: right;">1</td>
<td style="text-align: right;"></td>
</tr>
</tbody>
</table>
<h3>Conclusion</h3>
<p>As always it&#8217;s surprising how agile the LO community is and how many people participate in such tests. With a distribution of users like we have reached, we can split data on several parameters and still have enough values for valid evaluations.</p>
<p>The corresponding values in both tests are a strong indicator for the gathering of representative data. Still, it would be good to mobilize female users for the next tests. We are convinced there are more female users of LibreOffice out there.</p>
<h3>Join with your expertise</h3>
<p>As always: If you are interest in the raw data, simply join the LibreOffice project on <a title="Open Usability Platform" href="http://www.userweave.net" target="_blank">UserWeave</a> and add your own thoughts and findings in the comments.</p>
]]></content:encoded>
			<wfw:commentRss>http://user-prompt.com/libreoffice-icon-test-where-are-the-women/feed/</wfw:commentRss>
		<slash:comments>13</slash:comments>
		</item>
		<item>
		<title>Methodology of Testing Icons</title>
		<link>http://user-prompt.com/methodology-of-testing-icons/</link>
		<comments>http://user-prompt.com/methodology-of-testing-icons/#comments</comments>
		<pubDate>Tue, 04 Dec 2012 22:50:02 +0000</pubDate>
		<dc:creator>Björn Balazs</dc:creator>
				<category><![CDATA[Expertise]]></category>
		<category><![CDATA[LibreOffice]]></category>
		<category><![CDATA[Portfolio]]></category>
		<category><![CDATA[Profile]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[Test]]></category>

		<guid isPermaLink="false">http://test.user-prompt.com/?p=2172</guid>
		<description><![CDATA[On the occasion of the large scale usability test of the LibreOffice Writer icons, this article explains how subjective and objective measurements can help to understand the quality of an icon-term relationship.]]></description>
				<content:encoded><![CDATA[<p><strong>On the occasion of the large scale usability test of the LibreOffice Writer icons, this article explains how subjective and objective measurements can help to understand the quality of an icon-term relationship.</strong></p>
<p>A picture says more than 1000 words. On top of that, icons have a fixed size, no matter which language the software runs in. This is part of the reason why they are widely used to represent functions or actions for example in menu bars.</p>
<p>In the last weeks we have asked users to help us to assess the quality of the icons we use in the LibreOffice Writer menu bar. We used the Open Usability Platform <a title="Open Usability Platform" href="http://user-prompt.com/contact/" target="_blank">UserWeave.net</a> to conduct the tests. This platform presents a single term and a variety of icons. The task for the participant is to quickly select the best fitting icon for that term.</p>
<p><img class="alignright  wp-image-2359" title="icontest" src="http://user-prompt.com/wp-content/uploads/icontest.png" alt="" width="443" height="208" /></p>
<h3>Combining objective and subjective measurements</h3>
<p>The platform measures how fast an icon was chosen by the user. So it provides two distinct indicators:</p>
<ol>
<li>The <strong>subjective choice</strong> of an icon</li>
<li>The <strong>objective time</strong> it takes to choose the icon</li>
</ol>
<p>The platform calculates an overall score for the icon-term relationship, that ranges between 10 for a perfect icons to a theoretical minimum of 0, when an icon was never associated with a term.</p>
<p>Implicitly some more indicators can be derived, like the number of missing assignments and the ratio of icons that get assigned to multiple terms. You can find values for each of them in the results.</p>
<p><img class="alignright  wp-image-2368" title="resulticontest" src="http://user-prompt.com/wp-content/uploads/resulticontest1.png" alt="" width="410" height="258" /></p>
<p>In the example above you can see that the icon for &#8216;Auto Spellcheck&#8217; was chosen quickly, but often got mixed up with the icon for &#8216;Spelling and Grammar&#8217;, giving a poor overall score of 6.0.</p>
<p>You have to understand that this does not necessarily mean that the icon is unsuited. It might also be that the term it is supposed to be associated with is problematic. So the test really measures the strength of the relation between icon and term.</p>
<p>In the LibreOffice tests for example we use the tooltips that appear, when you hoover the mouse over the icons as terms. So we test the strength of the relation between the icon and the actually used term to explain the icon to the user.</p>
<h3>Evaluate the quality of your existing icons</h3>
<p>There are two possible ways to test icons. In the first one you present a set of icons and the corresponding tool tip for each of the icons. So you have one target icon for every term.</p>
<p>As a result you would hope for a perfect 10.0 for all your icon-term relationships. But in reality you get a feeling about the differing quality of the icons you provide. For this way of testing you can say as a rule of thumb that good icons score well above 9.0.</p>
<h3>Find the best icon for your term</h3>
<p>In a second use-case you try to find the best icon for a certain term. Therefore you present different icon solutions for this term. With this way of testing you have to be aware that icons that are similar, e.g. because they use the same metaphor or only differ in colour, will most likely not differ much in their result.</p>
<p>With the LibreOffice study we have taken the first step. We now know how good (some of) the different icon-term relationships in LibreOffice are, and we will publish the results in the next weeks. We will also take the next step and find better metaphors for the not-so-good-working icons using the second approach.</p>
<h3>Join the discussion!</h3>
<p>You are invited to take a look at the raw results of the studies in the LibreOffice project on <a title="Open Usability Platform" href="http://user-prompt.com/?page_id=2179" target="_blank">UserWeave.net</a> and discuss with us in the comments.</p>
]]></content:encoded>
			<wfw:commentRss>http://user-prompt.com/methodology-of-testing-icons/feed/</wfw:commentRss>
		<slash:comments>7</slash:comments>
		</item>
		<item>
		<title>Participate: New LibreOffice Icon Test started</title>
		<link>http://user-prompt.com/participate-new-libreoffice-icon-test-started/</link>
		<comments>http://user-prompt.com/participate-new-libreoffice-icon-test-started/#comments</comments>
		<pubDate>Fri, 12 Oct 2012 18:20:08 +0000</pubDate>
		<dc:creator>Björn Balazs</dc:creator>
				<category><![CDATA[Expertise]]></category>
		<category><![CDATA[Free Software]]></category>
		<category><![CDATA[Involve]]></category>
		<category><![CDATA[LibreOffice]]></category>
		<category><![CDATA[Open Usability e.V.]]></category>
		<category><![CDATA[Portfolio]]></category>
		<category><![CDATA[Profile]]></category>
		<category><![CDATA[Team]]></category>
		<category><![CDATA[UserWeave]]></category>

		<guid isPermaLink="false">http://www.opensource-usability-labs.com/?p=1198</guid>
		<description><![CDATA[The LibreOffice design team announces the start of a new online icon test. You are invited to participate!]]></description>
				<content:encoded><![CDATA[<p><strong>The LibreOffice design team announces the start of a new online icon test. You are invited to participate!</strong></p>
<p>After the great response to our last icon test with over 2000 people participating, we are now testing the corresponding oxygen icons. So the test is basically the same as last time, just with different icons.</p>
<p>Again, the LibreOffice design team encourages you &#8211; next to taking part yourself &#8211; to promote the link to the survey widely (Participants do not need to be users of LibreOffice):</p>
<ul>
<li>post it on your personal favourite social network,</li>
<li>ask your friends, parents,</li>
<li>send the link via email.</li>
</ul>
<p>Last time we only attracted about a dozen female participants &#8211; I guess we can do better than that!</p>
<p>Thanks to the great LibreOffice localisation team, the test this time is available in English, French, German, Hebrew, Italian, Polish and Spanish. We warmly welcome volunteers that want to help us doing subsequent studies in even more languages! Please help to reach participants speaking your language.</p>
<p>The survey will be closed on Tuesday and the results of the tests will be published during the <a title="LibreOffice Conference 2012 in Berlin" href="http://conference.libreoffice.org/" target="_blank">LibreOffice Conference</a> and on this blog.</p>
<p>Finally &#8211; here is where you need to go &#8211; it will take you less than 5 minutes if you are working fast:</p>
<p><a title="LibreOffice Icon Test" href="http://userweave.net/survey/22e772e174ed479abe2658be44dedca2" target="_blank">http://userweave.net/survey/22e772e174ed479abe2658be44dedca2</a></p>
<p>Thank you in the name of the LibreOffice design team.</p>
]]></content:encoded>
			<wfw:commentRss>http://user-prompt.com/participate-new-libreoffice-icon-test-started/feed/</wfw:commentRss>
		<slash:comments>6</slash:comments>
		</item>
		<item>
		<title>Participate: LibreOffice Icon Test started</title>
		<link>http://user-prompt.com/participate-libreoffice-icon-test-started/</link>
		<comments>http://user-prompt.com/participate-libreoffice-icon-test-started/#comments</comments>
		<pubDate>Mon, 01 Oct 2012 21:48:18 +0000</pubDate>
		<dc:creator>Björn Balazs</dc:creator>
				<category><![CDATA[Expertise]]></category>
		<category><![CDATA[Free Software]]></category>
		<category><![CDATA[Involve]]></category>
		<category><![CDATA[LibreOffice]]></category>
		<category><![CDATA[Open Usability e.V.]]></category>
		<category><![CDATA[Portfolio]]></category>
		<category><![CDATA[Profile]]></category>
		<category><![CDATA[Team]]></category>
		<category><![CDATA[UserWeave]]></category>

		<guid isPermaLink="false">http://test.user-prompt.com/?p=1664</guid>
		<description><![CDATA[Please invest 4 minutes of your precious time and help us to improve the quality of the icons we use in LibreOffice!]]></description>
				<content:encoded><![CDATA[<p><strong>Please invest 4 minutes of your precious time and help us to<a title="LibreOffice Icon Test" href="http://userweave.net/survey/3e08ced54a0c4ae8855a8fbb2bd89441" target="_blank"> improve the quality of the icons we use in LibreOffice</a>!</strong></p>
<p>Thank you on behalf of the LibreOffice UserExperience Team.</p>
]]></content:encoded>
			<wfw:commentRss>http://user-prompt.com/participate-libreoffice-icon-test-started/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>2012 &#8211; A good year for the user experience of Free Software?</title>
		<link>http://user-prompt.com/2012-a-good-year-for-the-user-experience-of-free-software-2/</link>
		<comments>http://user-prompt.com/2012-a-good-year-for-the-user-experience-of-free-software-2/#comments</comments>
		<pubDate>Thu, 02 Feb 2012 07:17:50 +0000</pubDate>
		<dc:creator>Björn Balazs</dc:creator>
				<category><![CDATA[Free Software]]></category>
		<category><![CDATA[KDE]]></category>
		<category><![CDATA[LibreOffice]]></category>
		<category><![CDATA[Open Usability e.V.]]></category>
		<category><![CDATA[Portfolio]]></category>
		<category><![CDATA[Profile]]></category>
		<category><![CDATA[Team]]></category>
		<category><![CDATA[Tine 2.0]]></category>
		<category><![CDATA[UserWeave]]></category>

		<guid isPermaLink="false">http://www.opensource-usability-labs.com/?p=1173</guid>
		<description><![CDATA[With the start of User Prompt, Users and Usability of Free Software will win. The business model includes efforts in the Open Usability e.V. as well as releasing and developing a new Open Usability platform as Free Software. All employees will support Free Projects during part of their working time.]]></description>
				<content:encoded><![CDATA[<p><strong>With the start of User Prompt, Users and Usability of Free Software will win. The business model includes efforts in the Open Usability e.V. as well as releasing and developing a new Open Usability platform as Free Software. All employees will support Free Projects during part of their working time.</strong></p>
<p>I haven&#8217;t been blogging for a long time. To give you some short reason for that: After almost 6 years I have decided to leave Apliki, the company I once co-founded. This process was a little time-consuming but is finished now.</p>
<p><strong>Why could that be of interest for you?</strong></p>
<ul>
<li><strong>I will be much more engaged in the usability of Free Software projects in future.</strong><br />
Next to the work I have been doing and will continue to do for <a title="Website of Tine 2.0" href="http://tine20.org" target="_blank">Tine 2.0</a>, I already teamed up much closer with the <a title="KDE in the net" href="http://www.kde.org" target="_blank">KDE</a> and the <a title="Get (involved in) LibreOffice" href="http://www.libreoffice.org/" target="_blank">LibreOffice</a> community. And I am actually still looking for more challenging projects from the Free Software World.</li>
<li><strong>I will try to re-animate <a title="The Open Usability initiative" href="http://www.OpenUsability.org" target="_blank">OpenUsability.org</a>.</strong><br />
I care a lot about this initiative. It tries to accomplish two things: First it helps to provide Usability Competence to Free Software projects. Secondly it tries to make process and work done in usability more transparent, so more people can benefit from it. Sad enough, this project is basically dead at the moment, but I want to work to re-animate it again (And you are happily invited to help re-building the structures we need to fulfill our duty!).</li>
<li><strong>I will free a <a title="Webservice for intergrating users into the development" href="http://www.usability-methods.com" target="_blank">software for user integration</a>.</strong><br />
Over the years at my old company, we have been developing a web based tool that helps to integrate users into the development process of software. I am currently working to release this software under the aGPL (Again, you are happily invited to join and support me in this effort).</li>
</ul>
<p>So whether you</p>
<ul>
<li>have a special project and want to <strong>improve its user experience</strong> or</li>
<li>would like to help building up structures to<strong> make usability work better for free software</strong> projects in general or</li>
<li>are interested in <strong>supporting</strong> a free software project<strong> with your usability skills</strong>, but have no clue how to start:</li>
</ul>
<p>Simply drop me a line (b [at] lazs [dot] de) or talk to me directly at FOSDEM.</p>
<p>2012 will definitely be a good year for Usability and User Experience of Free Software! Join to make it even better!</p>
]]></content:encoded>
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		<title>Looking back: LibreOffice Conference in Paris</title>
		<link>http://user-prompt.com/looking-back-libreoffice-conference-in-paris/</link>
		<comments>http://user-prompt.com/looking-back-libreoffice-conference-in-paris/#comments</comments>
		<pubDate>Wed, 02 Nov 2011 13:09:55 +0000</pubDate>
		<dc:creator>Björn Balazs</dc:creator>
				<category><![CDATA[Expertise]]></category>
		<category><![CDATA[Free Software]]></category>
		<category><![CDATA[Involve]]></category>
		<category><![CDATA[LibreOffice]]></category>
		<category><![CDATA[Open Usability e.V.]]></category>
		<category><![CDATA[Portfolio]]></category>
		<category><![CDATA[Profile]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[Team]]></category>

		<guid isPermaLink="false">http://www.opensource-usability-labs.com/?p=1150</guid>
		<description><![CDATA[I have been attending the great LibreOffice 2011 Conference in Paris and held a presentation about the problems of finding the gold in the input user provide.]]></description>
				<content:encoded><![CDATA[<p><strong>I have been attending the great LibreOffice 2011 Conference in Paris and held a presentation about the problems of finding the gold in the input user provide.</strong></p>
<p>First thing I want to say is &#8216;Thank you!&#8217; to all the people who have been organizing the <a title="Website of the LibreOffice conference 2011 in Paris" href="http://conference.libreoffice.org/" target="_blank">conference</a>. It was a great experience for me &#8211; full of contrasts, inspiration and networking. I was very happy to meet so many of you LibreOffice enthusiasts personally. There have been a lot of detailed descriptions on various topics (e.g. <a title="Christoph Noack about the LibreOffice Conference 2011" href="http://luxate.blogspot.com/2011/10/libreoffice-conference-2011-personal.html" target="_blank">I really liked Christophs post</a>, also check <a title="LibreOffice Planet with some more reports on the Conference" href="http://planet.documentfoundation.org/" target="_blank">the LibreOffice Planet</a>). I do not want to add much more to these &#8211; only one little thing:</p>
<p>I gave a talk on &#8216;Detecting signals in the feedback noise&#8217;. <a title="Slides of the presentation " href="https://wiki.documentfoundation.org/images/8/82/20111005_Conference_Balazs_DetectingSignalsInTheFeedbackNoise.pdf">You can find my .pdf slides here</a>. I was told there would also be a stream / video of the talk, but I haven&#8217;t found it yet.</p>
<p>Unfortunately all the usability and user experience related talks were in a room almost impossible to find. At least I hope this was the reason for so few people attending my talk <img src='http://user-prompt.com/wp-includes/images/smilies/icon_smile.gif' alt=':)' class='wp-smiley' /> . I do hope these topics will get more focus and attention in future!</p>
<p>I am really looking forward to meeting all of you next year again!</p>
]]></content:encoded>
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		<title>LibreOffice user research – Summary</title>
		<link>http://user-prompt.com/libreoffice-user-research-summary/</link>
		<comments>http://user-prompt.com/libreoffice-user-research-summary/#comments</comments>
		<pubDate>Mon, 31 Oct 2011 12:41:21 +0000</pubDate>
		<dc:creator>Björn Balazs</dc:creator>
				<category><![CDATA[Analyse]]></category>
		<category><![CDATA[Expertise]]></category>
		<category><![CDATA[Free Software]]></category>
		<category><![CDATA[Involve]]></category>
		<category><![CDATA[LibreOffice]]></category>
		<category><![CDATA[Open Usability e.V.]]></category>
		<category><![CDATA[Portfolio]]></category>
		<category><![CDATA[Profile]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[Team]]></category>
		<category><![CDATA[Test]]></category>
		<category><![CDATA[UserWeave]]></category>

		<guid isPermaLink="false">http://www.opensource-usability-labs.com/?p=1132</guid>
		<description><![CDATA[This is the last post about our LibreOffice survey done with UserWeave and we sum up the main findings. Find out about the users of LibreOffice and how motifs can help you to create better personas.]]></description>
				<content:encoded><![CDATA[<p><strong>This is the last post about our LibreOffice survey done with <a title="Open Usability Platform" href="http://userweave.net" target="_blank">UserWeave</a> and we sum up the main findings. Find out about the users of LibreOffice and how motifs can help you to create better personas.</strong></p>
<p>If you are interested in more detailed background information, please have a look at the past postings.</p>
<h2>Users want to contribute</h2>
<p>It’s remarkable that a huge number of people (n=5419) answered our questions in about one week, with a really low drop-out (~75% completed the survey).</p>
<p>Usability is a major issue of modern applications. We believe that a user-centric development can help to create usable software, e.g. make easier and more enjoyable to create better results. For a user-centric development users need to willing to join us. The survey is the prove that LibreOffice users are willing to do so &#8211; so let&#8217;s start to make it possible for our users to efficiently and enjoyably participate in the future development.</p>
<h2>Motifs: Describing users beyond Personas</h2>
<p>One main purpose of this study was to investigate a more psychological approach to describe the typical LibreOffice users. Currently the most common method for doing so is called <a title="Wikipedia: Persona" href="http://en.wikipedia.org/wiki/Persona_%28marketing%29" target="_blank">Persona</a>. A Persona basically is an aggregation of typical user characteristics described in the form of a fictional user of a product that is used to unify the view of the development team on the user base.</p>
<p>As psychologists we were always dissatisfied about the lack of a scientific, psychological ground to this methodology. Therefore we adopted the psychological concept of &#8216;motifs&#8217; for our study.</p>
<p>The scientific grounding was developed by Norbert Bischof, known as Zurich Model of Social Motivation, and is based on <a title="Wikipedia on Ethology" href="http://en.wikipedia.org/wiki/Ethology" target="_blank">ethology</a>. It postulates three general systems: security, arousal, and autonomy. The latter again is divided into power, prestige, and achievement. The model describes  a regulatory loop that combines all motifs.</p>
<p>Motifs can be used to explain and predict human behavior, e.g. people with a higher motif on arousal will in the same situation more likely do something that excites them than those who have low arousal value.</p>
<p>In our study we found first hints that using motifs could be well suited for describing typical users in a user-centric design process.</p>
<h3>Security</h3>
<p>Security is a more basic motif. We picked the question &#8220;I need familiar people around me&#8221; to access it. Because it is more relevant for children we did not find a significant relation to our dependent variables or the use of LibreOffice. <strong></strong></p>
<h3>Arousal</h3>
<p>Arousal deals with new situations, search for excitations, adrenalin. We asked the participants about their self-estimation on the statement &#8220;Unknown situations are very attractive to me&#8221;. The results combined with questions concerning the use of LibreOffice and software in general show that people that have a higher arousal:</p>
<ul>
<li>utilize Impress and Calc excessively and</li>
<li>make use of the possibility of self individualization within the software.</li>
</ul>
<h3>Power</h3>
<p>The motive of Power was assessed by accordance with the statement &#8220;In a work team I like to take the lead&#8221;. The higher people scored on the power motif,</p>
<ul>
<li>the higher was the self-estimated relevance of computers,</li>
<li>the higher was the self-estimated expertise,</li>
<li>more intensively all LibreOffice tools were utilized,</li>
<li>the higher was the interest to interact fast and graphical instead of precise and textual.</li>
</ul>
<h3>Prestige</h3>
<p>The question &#8220;I enjoy it, when other people pay special attention to me&#8221; was used to assess the prestige motif. People with high values on this question need social integration (perhaps they would have more friends on social networks too) and avoid to make failures in contrast to such with high values in arousal. In particular high values correlate with:</p>
<ul>
<li><strong></strong> preference of assistance and active support,</li>
<li>preference of graphical interactions,</li>
<li>praise of innovative designs (like ribbons),</li>
<li>higher utilization only of Impress.</li>
</ul>
<h3>Achievement</h3>
<p>Achievement, assessed as &#8220;It is important for me, to deliver good performances&#8221;, turned out to be highly relevant for almost all of the responders. Due to this extreme distribution with roof effects we cannot reveal a particular relation to LibreOffice or UI in general. We will have to rephrase this question for future surveys.</p>
<h2>Conclusion</h2>
<p>We believe in motifs as replacement of or extension to personas. Perhaps not all of the postulated motifs are relevant in context of UI design but if we can create standard users based on this approach the results would be valid and reproducible. In our next studies we will integrate a revised questionnaire for assessing motifs, usage preferences and the use of LibreOffice, so we can re-assure our findings.</p>
<h2>Acknowledgments</h2>
<p>I want to say a special &#8216;Thank you!&#8217; to Heiko Tietze and Isabel Menz, who have worked hard on the data and the postings. And of course I want to say &#8216;Thank you!&#8217; to everyone who took part in the survey. Keep up the good spirit!</p>
]]></content:encoded>
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		<title>LibreOffice user research &#8211; Results vol.4</title>
		<link>http://user-prompt.com/libreoffice-user-research-results-vol-4/</link>
		<comments>http://user-prompt.com/libreoffice-user-research-results-vol-4/#comments</comments>
		<pubDate>Wed, 05 Oct 2011 20:32:50 +0000</pubDate>
		<dc:creator>Björn Balazs</dc:creator>
				<category><![CDATA[Analyse]]></category>
		<category><![CDATA[Expertise]]></category>
		<category><![CDATA[Free Software]]></category>
		<category><![CDATA[Involve]]></category>
		<category><![CDATA[LibreOffice]]></category>
		<category><![CDATA[Open Usability e.V.]]></category>
		<category><![CDATA[Portfolio]]></category>
		<category><![CDATA[Profile]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[Team]]></category>
		<category><![CDATA[Test]]></category>
		<category><![CDATA[UserWeave]]></category>

		<guid isPermaLink="false">http://www.opensource-usability-labs.com/?p=681</guid>
		<description><![CDATA[Do users want Ribbons? This post about the software preferences of LibreOffice users answers this and other intresting questions and is part of the results of our extensive user research.]]></description>
				<content:encoded><![CDATA[<p><strong>Do users want Ribbons? This post about the software preferences of LibreOffice users answers this and other intresting questions and is part of the results of our extensive user research.</strong></p>
<p>Yes, we still haven&#8217;t written about all results from our LibreOffice user research &#8211; but I promise, this will be the last of the long posts about the results.</p>
<p>To understand the preferences our users have when using software, we created nine questions on a six-step <a href="http://en.wikipedia.org/wiki/Semantic_differential">semantic differential</a>. The questions are about preferences in menu navigation, workflow, individualization and the use of templates.</p>
<p>We found, that &#8230;</p>
<ul>
<li>the sample divides up in those who like ribbon style menus and those who don&#8217;t</li>
<li>older people prefer classic menus while younger people go for ribbons</li>
<li>younger people prefer to be actively supported by the software while older people only want support after asking for it</li>
<li>older people more often use individual configurations and self-formatting than younger people</li>
<li>people with a strong <em>prestige</em> motif prefer active support, to be led by assistants and they use graphical dialogs instead of textual ones</li>
<li>people with a strong <em>arousal</em> motif prefer individual configurations and self-formatting</li>
</ul>
<div>To get all the details, keep on reading!</div>
<h2>Part 1: Menu navigation</h2>
<h3>Structure</h3>
<p>The first question was about menu navigation. We wanted to know whether user prefer to have:</p>
<ul>
<li>many menu items in fewer levels of a menu or</li>
<li>less menu items in more levels.</li>
</ul>
<p>Obviously the more functions a software has, the more menu items are there. Even with a lot of functions, the menus should still be neat and clear.</p>
<p>We did not find a specific pattern in the answers. Although there are some people on either extreme side, we could not find any moderating effect.</p>
<h3>Organization aka ribbons</h3>
<p><img class="alignleft" title="LibreOffice: Menu organization / ribbon style vs. classic menu (click to enlarge)" alt="Menu organization / ribbon style vs. classic menu" src="data:image/png;base64,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" width="194" height="194" /></p>
<p>This next question was about preference of a ribbon style toolbar on the one side (low values) versus a classic menu and a set of toolbars on the other side (high values). Microsoft invented <a title="Wikipedia: Ribbon control" href="http://en.wikipedia.org/wiki/Ribbon_%28computing%29">Ribbons</a> as a solution to the problem above: which functions should be directly accessible?</p>
<p>This question about the preference turns out to be of very controversy matter. People either love or hate ribbons, which is shown in the histogram.</p>
<p><img class="alignright" title="LibreOffice: Menu organization dependent on prestige (click to enlarge)" alt="Menu organization dependent on prestige" 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" width="216" height="216" />We also found that there are strong effects between this question and the rating on the motif <em>prestige</em> (graphic on the right). People who rate higher on <em>prestige</em> prefer ribbons (F<sub>(1,4176)</sub>=48.61; eta=0.601). This is an interesting result as it wasn&#8217;t expected. One possible reason could be that people, who want to be popular and admired by others also try to keep up on latest developments and to be always up to date. Are there more ideas to this?</p>
<p><img class="alignleft" title="LibreOffice: Menu organization dependent on age (click to enlarge)" alt="Menu organization dependent on age" 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" width="216" height="216" />There is an even stronger effect of the variable age on answering this question.   Older people are more likely to prefer classic menus while younger people prefer ribbons (F<sub>(1,4011)</sub>=496.28; eta=0.992). As ribbons are newer inventions, they are easier to understand and handle for people, who never got too used to the classic menus. This result is consistent to the findings of other <a title="Survey on acceptance of ribbon controls" href="http://www.exceluser.com/explore/surveys/ribbon/ribbon-survey-results.htm">studies</a>.</p>
<p>To summarize one can say that people either like or dislike ribbons. Younger people and such with high values on <em>prestige</em> are more likely to enjoy ribbon-like controls. On the other hand there are a lot of users that would refuse to use these &#8216;gimmicks&#8217;. We think the direction of interface design taken with the invention of ribbons is good but they still need to better elaborated and understood.</p>
<h3>Optimization</h3>
<p>The last one of the questions about menu navigation deals with menu control. We asked about the preference to use a mouse on the one side of the semantic differential vs. a keyboard (shortcuts and keystroke combinations) to control menus on the other side. Mouse control is easier and more intuitive. Keystroke combinations are faster but harder to find out and they have to be memorized.</p>
<p>We did expect effects of motifs, age or expertise to take an effect on this preference statement. But again, this question turned out to be not selective for the sample. Obviously, there are people on every step between the options.</p>
<h2>Part 2: Workflow</h2>
<h3>Assistance</h3>
<p>The first question dealing with the preferences of handling workflows was about preferring either being led by an assistant or free editing without being led.<em></em></p>
<p>It shows, that there is an obvious tendency to free editing and only very few people prefer to be led by an assistant (wizard). This could be a result of the fact that people nowadays are often irritated by assistants (like &#8220;Clippy&#8221; from Microsoft Office). They rather edit free than be annoyed by a bad assistant.</p>
<p><img class="alignright" title="LibreOffice: Assistance in workflow dependent on prestige (click to enlarge)" alt="Assistance in workflow dependent on prestige" src="data:image/png;base64,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" width="216" height="216" />There is an effect between this question and the motif <em>prestige</em> (graphic on the right). People with stronger motifs for being admired aka with high <em>prestige</em> prefer to be led (F<sub>(1,4099)</sub>=35.82; eta=0.488). A possible reason could be that mistakes are more unlikely if you are being led by an assistant. People with greater intentions for <em>prestige</em> would want to avoid mistakes and show good results. Do you have another plausible idea for this result?</p>
<h3>Access to functions</h3>
<p>The second question was about the quantity of functions in direct access (many toolbars or no toolbars). <span style="color: #00ff00;"><span style="color: #000000;">We could not find a clear </span></span>result. This does not mean people don&#8217;t care about toolbar cluttered interfaces. User interface design should carefully investigate whether or not additional toolbars should be introduced or replaced by other controls. The question probably simply could not be answered seriously by the users.</p>
<h3>Interaction</h3>
<p><img class="alignleft" title="LibreOffice: Interaction / graphical vs. textual (click to enlarge)" alt="Interaction / graphical vs. textual" 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" width="216" height="216" />Question three deals with the preference for a configuration via graphical elements (e.g. create a table by dragging rows and columns in a preview) or via textual dialogs (e.g. create a table by entering the number of rows and columns). Graphical dialogs look better and are more intuitive to use by mouse control. Textual dialogs are &#8211; once learned &#8211; faster by only using the keyboard and offer full functionality.</p>
<p>Although in most software you can configure using textual dialogs, it seems people strongly prefer graphical dialogs (as you can see in the histogram on the left).<span style="color: #00ff00;"> </span>They are easier to handle than abstract digits.</p>
<p><img class="alignright" title="LibreOffice: Interaction dependent on power (click to enlarge)" alt="Interaction dependent on power" 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" width="216" height="216" />As shown in the graphs, there is a relation between this question and the motifs <em>power</em> and <em>prestige</em>. People with an average to low <em>power</em> motif mostly prefer textual dialogs (F<sub>(1,4098)</sub>=32.84; eta=0.456). What could be a reason for this finding?</p>
<p><img class="alignleft" title="LibreOffice: Interaction dependent on prestige (click to enlarge)" alt="Interaction dependent on prestige" 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" width="216" height="216" />People with a higher <em>prestige</em> motif prefer graphical dialogs while people with a lower <em>prestige</em> motif prefer textual dialogs (F<sub>(1,4104)</sub>=28.33; eta=0.405). Yet again, this could be a result of the fact that the people with high <em>prestige</em> motif are worried about doing things wrong and therefore go for the easier solution.</p>
<p><img class="alignright" title="LibreOffice: Interaction dependent on age (click to enlarge)" alt="Interaction dependent on age" 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" width="216" height="216" />A very strong relation can be found with the participant&#8217;s age. Older people significantly prefer textual dialogs. The effect is with an effect size of eta=0.742 very relevant. Could this be because older users are more used to textual dialogs? Do you have any other interpretation?</p>
<p><span class="Apple-style-span" style="font-size: 15px; font-weight: bold;">Support</span></p>
<p>The last question to workflow was about whether one like to get active support through the software or rather only after asking for it. This question is quite close to the question above about wizards and probably reminds people again of annoying pop-ups.<span style="color: #00ff00;"> </span></p>
<p><img class="alignleft" title="LibreOffice: Support dependent on age (click to enlarge)" alt="Support dependent on age" 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SUCCCCAAAIIIFC4AAlW4XYciQACCCCAAAIIpBUgwUrLwkoEEEAAAQQQQKBwARKswu04EgEEEEAAAQQQSCtAgpWWhZUIIIAAAggggEDhAnULP5QjcxE466yz5P33389lV/ZBAAEEEEAAAY9A7dq15c033xT7GaZCglXi3vriiy9k9uzZJb4Kp0cAAQQQQCCaAkcccYRs2bIldAlWuNLBaH52aBUCCCCAAAIIREyABCtiHUpzEEAAAQQQQKDyAiRYle8DaoAAAggggAACERMgwYpYh9IcBBBAAAEEEKi8AAlW5fuAGiCAAAIIIIBAxARIsCLWoTQHAQQQQAABBCovQIJV+T6gBggggAACCCAQMQESrIh1KM1BAAEEEEAAgcoLkGBVvg+oAQIIIIAAAghETIAEK2IdSnMQQAABBBBAoPICJFiV7wNqgAACCCCAAAIREyDBiliH0hwEEEAAAQQQqLwAX/Zc+T6gBggggAACCIRWYLJMlts1NmgklxWyQpZq7K6xjUZyaSbN5BaNXTWiWkiwotqztAsBBBBAAIEyCIyQETJeI1NZLsvTbuoqXeUyjagWEqyo9iztQgABBBBAoAwCg2SQ7KOxWSO5PCaPyWcav9TorpFcGktjOU8jyoUEK8q9S9sQQAABBBAoscDP5Gdyk4a3zJSZToJ1uMb1GnErDHKPW4/TXgQQQAABBBAouQAJVsmJuQACCCCAAAIIxE2ABCtuPU57EUAAAQQQQKDkAiRYJSfmAggggAACCCAQNwESrLj1OO1FAAEEEEAAgZILkGCVnJgLIIAAAggggEDcBEiw4tbjtBcBBBBAAAEESi5AglVyYi6AAAIIIIAAAnETIMGKW4/TXgQQQAABBBAouQAJVsmJuQACCCCAAAIIxE2ABCtuPU57EUAAAQQQQKDkAiRYJSfmAggggAACCCAQNwESrLj1OO1FAAEEEEAAgZILkGCVnJgLIIAAAggggEDcBEiw4tbjtBcBBBBAAAEESi5AglVyYi6AAAIIIIAAAnETIMGKW4/TXgQQQAABBBAouQAJVsmJuQACCCCAAAIIxE2ABCtuPU57EUAAAQQQQKDkAiRYJSfmAggggAACCCAQNwESrLj1OO1FAAEEEEAAgZILkGCVnJgLIIAAAggggEDcBEiw4tbjtBcBBBBAAAEESi5AglVyYi6AAAIIIIAAAnETIMGKW4/TXgQQQAABBBAouQAJVsmJuQACCCCAAAIIxE2ABCtuPU57EUAAAQQQQKDkAiRYJSfmAggggAACCCAQNwESrLj1OO1FAAEEEEAAgZILkGCVnJgLIIAAAggggEDcBEiw4tbjtBcBBBBAAAEESi5AglVyYi6AAAIIIIAAAnETIMGKW4/TXgQQQAABBBAouQAJVsmJuQACCCCAAAIIxE2ABCtuPU57EUAAAQQQQKDkAiRYJSfmAggggAACCCAQNwESrLj1OO1FAAEEEEAAgZILkGCVnJgLIIAAAggggEDcBEiw4tbjtBcBBBBAAAEESi4Q6QRr7ty50rdvX2ndurXUq1dPdtppJzn//PNlyZIlJYflAggggAACCCAQX4G6UWl6rVq1nKYkEgnn59SpU6VXr16yYcOGqiYuW7ZMRo0aJS+88ILMnj1bdtxxx6g0n3YggAACCCCAQIAEInsH6+qrr3aSqw4dOsj06dNl1apVMmXKFGnXrp1zB+uGG24IUDdQFQQQQAABBBCIkkBkE6y33nrL6ae7775bunXrJk2aNJEePXrI8OHDnfXjx4+PUj/SFgQQQAABBBAIkEBkE6z27ds7zF26dEnhPuSQQ5xlxmEF6FNIVRBAAAEEEIiYQOQSLBuLZb/ef/99p6sWLVqU0mV1624ddta0adOIdSXNQQABBBBAAIGgCEQuwfLCDh06NGXVzJkznWX3TpZ3f5YRQAABBBBAAIFiBSLzFqH79mBNILfffruzy8UXX1zTrmxHAAEEEEAAAQQKEohMgpVr68eNG5frruyHAAIIIIAAAggUJBD5R4QFqXAQAggggAACCCBQhAAJVhF4HIoAAggggAACCKQTiN0jQkPwzvqeDibbugceeEAeffTRbLtUbZszZ05O+7ETAggggAACCERHIJYJVrHdd95554n9yqU0b948l93YBwEEEEAAAQQiJBDLBCvXNw4j1M80BQEEEEAAAQTKKMAYrDJicykEEEAAAQQQiIdAbBIsd4b3eHQrrUQAAQQQQACBSgrEJsGqJDLXRgABBBBAAIF4CURmDJb7ZmBN3Ze8H2OxatJiOwIIIIAAAggUIsAdrELUOAYBBBBAAAEEEMgiEJkEq2/fvlK/fn254YYbZOPGjWJ3p5J/uQbp1mXxYRMCCCCAAAIIIJC3QGQSrNGjR8uoUaPktttuk4MOOkjmz5+fNwYHIIAAAggggAACfghEJsEyjH79+jmJ1Q477CBdunSRm266STZt2uSHE+dAAAEEEEAAAQRyFohUgmWtbtu2rUycOFGGDRsmgwcPlq5du8qCBQtyBmFHBBBAAAEEEECgWIHIJVguyIABA2TevHnSsGFD6dSpU7FOHI8AAggggAACCOQsENkEywTat28vU6dOlRtvvFEaNGiQMwo7IoAAAggggAACxQhEOsEymNq1a8uVV14p69atc94qpCCAAAIIIIAAAqUWiHyCVWpAzo8AAggggAACCHgFSLC8IiwjgAACCCCAAAJFCpBgFQnI4QgggAACCCCAgFeABMsrwjICCCCAAAIIIFCkAAlWkYAcjgACCCCAAAIIeAVIsLwiLCOAAAIIIIAAAkUKkGAVCcjhCCCAAAIIIICAV4AEyyvCMgIIIIAAAgggUKQACVaRgByOAAIIIIAAAgh4BUiwvCIsI4AAAggggAACRQqQYBUJyOEIIIAAAggggIBXgATLK8IyAggggAACCCBQpAAJVpGAHI4AAggggAACCHgFSLC8IiwjgAACCCCAAAJFCpBgFQnI4QgggAACCCCAgFeABMsrwjICCCCAAAIIIFCkAAlWkYAcjgACCCCAAAIIeAVIsLwiLCOAAAIIIIAAAkUKkGAVCcjhCCCAAAIIIICAV4AEyyvCMgIIIIAAAgggUKQACVaRgByOAAIIIIAAAgh4BUiwvCIsI4AAAggggAACRQqQYBUJyOEIIIAAAggggIBXgATLK8IyAggggAACCCBQpAAJVpGAHI4AAggggAACCHgFSLC8IiwjgAACCCCAQFECW2SLrNKwslIjjoUEK469TpsRQAABBBAokcAH8oEcrDFbw8qdGido/KARp0KCFafepq0IIIAAAgiUUGCtrJU+GrM0kssz8owM1IhTIcGKU2/TVgQQQAABBEooMENmyHsa6cpj8pis14hLIcGKS0/TTgQQQAABBEos8KF8mPEKG2SDfKoRl0KCFZeepp0IIIAAAgiUWGAP2SPjFRpIA9lNIy6FBCsuPU07EUAAAQQQKKHAUlkqN2hkKufL+VJfIy6FBCsuPU07EUAAAQQQKJHAs/KsdNR4XeM6jcM03FJLasm5GrdoxKnUjVNjaSsCCCCAAAII+Cfwo/woAzQe0vi5xqMa+2hY6abxhsYVGjdrxK1wBytuPU57EUAAAQQQ8EHgbXlbumg8rGFTMNgbhG5yZadvqGGlkUYcCwlWHHudNiOAAAIIIFCggM3SPlSjq8bXGk9rDNNwE6oCTxu5w3hEGLkupUEIIIAAAgiURmCZLJNzNCZp/EbjAY3WGpTqAtzBqm7CGgQQQAABBBDwCDwvz8v+GlM17tCwZZKrzB8TEqzMNmxBAAEEEEAg9gI2+/olGsdqNNewNwVt2d4OpGQWIMHKbMMWBBBAAAEEYi0wT+ZJZw37wuaLNd7SsGVKzQIkWDUbsQcCCCCAAAKxEkhIwhm4fpDGco0xGra8jQYlNwEGuefmxF4IIIAAAgjEQuAb+UYu0HhGo4fGvzR+okHJT4A7WPl5sTcCCCCAAAKRFZggE2RfDftpA9lf1iC5Kqy7SbAKc+MoBBBAAAEEIiOwQTY4A9eP1miqMV2DgezFdS8JVnF+HI0AAggggECoBT6UD52vtbGB7BdqzNGwGdopxQmQYBXnx9EIIIAAAgiEVsAGrtvcVos0ntS4W2NbDUrxAgxyL96QMyCAAAII+CywVtbKOo1ci73dxle15KolskLD7lbZ24GHaNiXNbfToPgnQILlnyVnQgABBBDwQeBeuVcu0rCpAnItNunlPzXO1qBkF7CZ2M/SsOkXhmhcoVFHg+KvAI8I/fXkbAgggAACRQoslaV5JVd2OUvG7DhKZgF3IHtP6SkNNF7TuEqD5CqzWTFbuINVjB7HIoAAAgj4LnCtXCt9NCwhSC62frzG8RrXaCSX+lLfmV6Akl7gI/lIztCYpWF3r0Zo2NuClNIJkGCVzpYzI4AAAggUIGCP+/bT8JbtZXtnVUsNvq7Fq5N5+R65x3kMWFfjCY2TNSilF+ARYemNuQICCCCAAAJlF1gpK51kysazddSw7xEkuSpfN5Bglc+aKyGAAAIIIFAWgWkyTQ7QeFrjOo0pGrtoUMonQIJVPmuuhAACCCCAQEkFNspGuVrj1xo2eN0Gsl+vYY8HKeUVQLy83lwNAQQQQACBkgh8LB9LP40ZGvbzHxoMZC8JdU4n5Q5WTkzshAACCCCAQHAFHpFHpJPGAo0HNR7WILmqbH+RYFXWn6sjgAACCCBQsMAqWeVMrnqmhk1TMV+DyVYL5vT1QBIsXzk5GQIIIIAAAuUReF1el59rPKphA9lthvZdNSjBECDBCkY/UAsEEEAAAQRyEtgsm52B64dqbNKYpMFA9pzoyroTg9zLys3FEEAAAQQQKFzgC/nCeQRo0y6cpnGXxnYalOAJcAcreH1CjRBAAAEEEKgm8G/5tzPOyr7uxgayP6ZBclWNKTArSLAC0xVUBAEEEEAAgeoCq2W1c9fqdI3dNWZrMJC9ulPQ1pBgBa1HqA8CCCCAAAL/EZgrc6WLhk3DYAPZbY6rDhqU4AuQYAW/j6ghAggggEDMBLbIFmfg+sEadgeLgezh+wAwyD18fUaNEUAAAQQiLLBUljqPAF/SOE7jfo2WGpRwCXAHK1z9RW0RQAABBCIs8Kw8Kx013tSwgezPaJBchbPDSbDC2W/UGgEEEEAgQgI/yo/OXavjNXbWsDcFGcge7g4mwQp3/1F7BBBAAIGQC7wtb1cNZL9KrnLuXu2tQQm3AAlWuPuP2iOAAAIIhFTABrIP1eiq8b3GCxpDNBpoUMIvwCD38PchLUAAAQQQCJnAMlkm52jY24HHaIzS2EGDEh0B7mBFpy9pCQIIIIBACASel+dlf43pGndr2MB2kqsQdFyeVSTByhOM3RFAAAEEEChEYL2sl0s0jtVoo2ED2ftr1NKgRE+ABCt6fUqLEEAAAQQCJjBP5klnjeEaF2vYQPafaVCiK0CCFd2+pWUIIIAAAhUWSEhChmkcpLFCY6KGLTfUoERbgEHu0e5fWocAAgggUCGBb+QbuUDDJgs9SuMBjVYalHgIcAcrHv1MKxFAAAEEyigwQSbIvhp2x+oOjec0SK7K2AEBuBQJVgA6gSoggAACCERDYINscAayH61hCdUcDVtmIHs0+jefVpBg5aPFvggggAACCGQQ+FA+lG4ad2rYQPYZGvtoUOIpQIIVz36n1QgggAACPgrYwHWb2+pTjac1bHkbDUp8BRjkHt++p+UIIIAAAkUK2JuBF2qM0eit8U+N1hoUBLiDxWcAAQQQQACBAgSmylTnrpUNYLeB7OM1SK4KgIzoISRYEe1YmoUAAgggUBoBdyB7T+npPAZ8XYOB7KWxDvNZSbDC3HvUHQEEEECgrAIfyUfSXcMdyP62vO3M0E5BwCvAGCyvCMsIIIAAAgikEbhH7pErNOppPKXRR4OCQCYB7mBlkmE9AggggAACKrBS4xSNizQ6adhdK5IrPho1CZBg1STEdgQQQACB2ApMk2lygIZ93Y0NZJ+i8RMNCgI1CZBg1STEdgQQQACB2AlslI1abAMzAAAgAElEQVRytcavNeprvKbBQPbYfQyKajBjsIri42AEEEAAgagJfCwfSz8Nm4m9v8atGttqUBDIR4AEKx8t9kUAAQQQiLTAI/KI/F6jjsZojb4aFAQKEeARYSFqHIMAAgggECmBVbJKztY4U6Ojhg1kJ7mKVBeXvTEkWGUn54IIIIAAAkESsIlCf67xb40hGjaQvZ0GBYFiBEiwitHjWAQQQACB0Apsls1yvcahGvZI0N4YvErDfk9BoFgBxmAVK8jxCCCAAAKhE/hCvnAeCdrdKnssOFKjqQYFAb8EcrqDVatWLcn2q169etKqVSvp2bOnjBgxQjZs2OBX/TgPAggggAACvgrYo8B9Nd7SeELjIQ2SK1+JOZkK5JRg1SS1adMm+frrr+WVV16Riy++WLp16yY//PBDTYexHQEEEEAAgbIJrJbVzl2r0zUswbKB7CdrUBAohUBOCdaaNWukT58+sttuu8m4ceNkxYoVzq9nn31WdtllFzn++OPlvffekzvvvFO23XZbmTNnjtx0002lqC/nRAABBBBAIG+BuTJXumg8qnGdxisau2hQECiVQE5jsP7nf/5HxowZI6+++qr86le/qqrLscceK02bNpUePXrIjjvuKHfddZfUr19fBgwYIE899ZQMHTq0VPXmvAgggAACCNQosEW2yN81BmnYV9zYjOwHa1AQKLVATnewnnzySacenTp1qlafzp07O+vcfSzpsvL5559X27ccKyZOnChnnXWW7L333k7yV7duXeenLZ999tny4osvlqMaXAMBBBBAoMICS2Wp9NL4Xw17FGh3sUiuKtwpMbp8Tnew1q1b55DMnTs35Q6WrbPHgVbcfVq0aOEsN2rUyPlZrrJ+/Xo5/fTT5emnn652yVWrVsnChQudXw899JCcdNJJ8uijjzp32ygIIIAAAtETeFaelfM11mk8qGFjrygIlFMgpztY9naglXPOOUeee+45+e6775xf9vtzzz3X2fbrX//a+Tlr1iznZ9euXZ2f5So25suSK7tbNXjwYJk3b56sXr1aNm/e7Py0ZVtv2+3x5aBBg8pVNa6DAAIIIFAmgR/lRyeZOl5jT415GiRXZcLnMikCOd3Buv322507VYsWLRL3EWDyWdq0aSO2j5Vbb73V+WlvE5az/Otf/3IuN3r0aOnVq1fKpRs3biz77bef8+uAAw6Q3r17i+1//fXXl7OKXAsBBBBAoIQC9lbgGRofathA9r9p1NWgIFAJgZzuYO2xxx7yzjvvyOWXXy4dOnSQBg0aOL/s91dccYVzd2j33Xd36v/MM89IIpGQ3/zmN2Vtz9KlS53rHXrooVmv625fsmRJ1v3YiAACCCAQDgEbyD5Uo6uGfafgJA2boZ3kKhz9F9Va5pza20SidnfKvUMVNJCddtpJFi9eLFOnTq12Byu5rrbdStu2bYPWBOqDAAIIIJCnwDJZJudoWFJ1msb/aTTToCBQaYGc7mBVupK5XN/eELRy8skny5AhQ2T+/Pli83dt2bLF+WnLtv6UU05x9nP3z+Xc7IMAAgggUDkBu0N1j8ZzGlae1nhAw5b317Ava7aB7I9pkFxVrp+4cqpATnewLEmxr8CxcUv2Jp4lLOmKPRqsVPnrX//qJFFjx46VP//5z86vTMUmTc22PdNxrEcAAQQQKL+AfQGzPj+purBOdS2/1bBygIZNHrqXBgWBIAnklGBdffXVcssttwSp3tXqYmPC7C3CCRMmOFMw2NuMNs7qxx9/dKaMsEeCBx54oPTr188Z5E5BAAEEEAi+wDfyjdymka7ot+Q6jwa316AgEDSBnBKs+++/36l3//795brrrhN7a9C+/DmIxQbXl3uAfRAdqBMCCCAQBQF7M9AeEaYrCUnIexq/0qAgEDSBnBIs+zJnKzfffLNst912QWsD9UEAAQQQiKhATWOqatoeURaaFQKBnAa528znVpjaIAQ9ShURQACBCAm0k3aiEwOlbdGusqv8TIOCQBAFcrqDZQPc7etmbCb3kSNHSseOHZ15sMJa3MebhQ7Kv++++5wvts6l2BgwCgIIIIBA/gKLZJEcp7FRo77GBg23NJWm8rBGHQ0KAkEUyCnBspnQ3XLQQQdlbEehCUvGEwZ0wwUXXCD2K5fSvHnzXHZjHwQQQACBJIFX5BXpq7FJ43mNfTSO1XhHo7PGOI02GhQEgiqQ0yPCoFa+0HpZIhiXZLBQI45DAAEEKiUwSkbJkRp2l+o1jd4aP9H4uYYVm/uK5KpSvcN1cxXIKcFyE5KafuZ6UfZDAAEEEEDAK7BZNsslGudr/FJjlsa+GhQEwiiQU4IVxoZ562zjroI6tYS3riwjgAACcRP4Xr6XYzTu1Pi9xosazG8Vt09BtNqb0xisaDWZ1iCAAAIIBEnAHcy+UBbK3Rr9NSgIhF0gbYLlfcsu1zs/lRzXlGsdk/erZH3D/sGh/ggggIAfAu5gdns8aN8taGOvKAhEQSA2jwij0Fm0AQEEEIiSgDuYvaW0lBkaJFdR6l3akjbB8r5lV9Pgdu/+lWDt27ev1K9fX2644QbZuHGj85Zg8i+3TunWVaK+XBMBBBCIq4BNvXCRhjuY/XV5XfbUoCAQJYG0CVYYGzh69GgZNWqU3HbbbWJzdc2fPz+MzaDOCCCAQKQF3MHs98g98gcNG8zeQoOCQNQEckqwanoDr6bt5ULr16+fk1jtsMMO0qVLF7npppvE/R7FctWB6yCAAAIIpBf4UD6UX2i8pGGD2Udo1NWgIBBFgZwSrGwN37x5s7M510Hm2c7lx7a2bdvKxIkTZdiwYTJ48GDp2rWrLFiwwI9Tcw4EEEAAgQIFpsgU6abxlYbNzM6bggVCclhoBIpKsCy5mjx5stPY7bffPlCNHjBggMybN08aNmwonTp1ClTdqAwCCCAQJ4F/yD+kl4YNZp+pYb+nIBB1gYwJlvvYL/nOVPI6+33dunWld+/ejlGPHj0CZ9W+fXuZOnWq3HjjjaH+curAwVIhBBBAIAcBdzC7jbU6RMMGs++hQUEgDgIZE6xcGm9Jlt25sjf47rzzzlwOKfs+tWvXliuvvFLWrVvH9w+WXZ8LIoBAXAWSB7P/Uf4oL2gwmD2un4Z4tjvj6MLkSTjdu1hMzBnPDwmtRgABBPIRsMHsx2rYDO3MzJ6PHPtGSSBjgpXcSBKrKHU5bUEAAQRKJ2CD2U/WcGdmZ7xV6ayDcuY5Msf5Dsm1GsllgWx9wWy0jJb3NJJLK2kl12i01ohqySnBimrjaRcCCCCAgH8CI2WkXKrxU41nNRhv5Z9tkM/0v/K/Mk4jU7Hkyptg2b67aVyuEdWSc4I1a9YsZxLP6dOny5dffikbNmyoZsKdrmokrEAAAQQiL2CD2W0gu00e+msNu2PBeKvId3tVA/8sf5Y2Gt7ypXwpH2kcoNFII7nUk3rSTyPKJacEa9KkSXLUUUcxaWeUPwm0DQEEEChA4Dv5Tk7TsEHsF2vcpsHkoQVAhviQrrI1QtyEklQ9p7cIr732Wie56tOnj3z11VdVFfn222/lxBNPlBNOOEFWrVpVkgpyUgQQQACBYAp8IB/IQRova9hgdhuHQ3IVzL6iVuUXyCnBevvtt52a3Xrrrc7X0LilWbNmcsstt8jYsWNl4MCB5a89V0QAAQQQqIgAM7NXhJ2LhkggpwSrQYMGTpPsa2isbLPNNs7P77//XnbeeWfn95ZkURBAAAEEoi9gg9nt7UB7E2yWxhEaFAQQSBXIKcHq3r27c9S7777r/Nxzzz2dn+PGjZMJEyY4v7cJPSkIIIAAAtEVcGdmt4lDD9WwmdntjUEKAghUF8gpK7rkkkucI4cMGeL87Ndv68j/c845xxmDZcUGwVMQQAABBKIpYIPZj9GwNwUHakzUaK5BQQCB9AI5vUV4xBFHpHzNzGWXXSbLli2TBx980FlvydWwYcPSX4G1CCCAAAKhFrDB7MdpMDN7qLuRypdZIKcEy1unOnXqOHNi2S8KAggggEB0BWwwe1+NhMbzGoy3im5f0zJ/BXJ6RFi3bl1xv4/Q38tzNgQQQACBoAokD2afKTNJroLaUdQrkAI5JVgtWrRwKr9mzZpANoJKIYAAAgj4J5A8mL2H9GAwu3+0nClGAjklWH379nVIpk6dGiMamooAAgjET8AGsx+twWD2+PU9LfZXIKcEyyYYPemkk6R///7y9NNPy8qVK/2tBWdDAAEEEKi4gA1m/4WGjbuymdmHadTRoCCAQP4COQ1yb9y4cdWZ7etyMhW+7DmTDOsRQACBYAvY192crGEJ1Usav9KgIIBA4QI53cEq/PQciQACCCAQdAEbzH6kRmsNmzyU5CroPUb9wiCQU4Jld6Zy+RWGBlNHBBBAAIGtAsmD2S3BelODmdn5dCDgj0BOCZY/l+IsCCCAAAJBEUgezH6VXCXPaDTVoCCAgD8COY3B8udSnAUBBBBAIAgCNpj9WI1PNWwwe38NCgII+CtAguWvJ2dDAAEEAi3AYPZAdw+Vi5AAjwgj1Jk0BQEEEMgmMEJGVA1mf0PeYDB7Niy2IVCkAAlWkYAcjgACCARdwB3MfrFcLL01ZmjsrkFBAIHSCZBglc6WMyOAAAIVF/AOZh8rY2VbDQoCCJRWgDFYpfXl7AgggEDFBJIHs9tX31yoQUEAgfIIkGCVx5mrIIAAAmUVSB7Mbr/vrkFBAIHyCfCIsHzWXAkBBBAoi4A7mH1H2VGHsr9BclUWdS6CQKoACRafCAQQQCAiAhtlo1yk4Q5mt5nZGcwekc6lGaETIMEKXZdRYQQQQKC6gA1mP0bDxlrZzOwMZq9uxBoEyinAGKxyanMtBBComMD/k/8nP2h4y3JZLq00amsklwbSQPbWqKMR9OIOZl8si+VejQs0KAggUFkBEqzK+nN1BBAog8BD8pCcrZFvuUQukTs0glzcwex1pa68pMFg9iD3FnWLkwCPCOPU27QVgZgKNJEmUksj3xL0+aIYzJ5vj7I/AuUT4A5W+ay5EgIIVEjgRDlRRyh9J5s1ksuNcqPcptFT4ykNb2kmzbyrArFsg9n/qGHjrexLmx/RCHoyGAg4KoFAGQVIsMqIzaUQQKByAk2labWLN5SGzrp6Gs01wlAsUTxV40UNG8x+k0YYxomFwZY6IuCnAAmWn5qcCwEEECihwEJZKMdp2GD2+zTO16AggEAwBUiwgtkv1AoBBBBIEUgezG6//6UGBQEEgivAIPfg9g01QwABBByB4RpHarTRsJnZSa74YCAQfAESrOD3ETVEAIGYCrgzsw+UgXKUhiVX7TUoCCAQfAESrOD3ETVEAIEYCthg9qM13JnZx8gY3hSM4eeAJodXgDFY4e07ao4AAhEViPtg9s/lcxmlsVYjucyVuc7iLI2rNZJLI2nkDPpvq0FBIAgCJFhB6AXqgAACCPxHwGZjP0XDZmaP62D2oTJURmpkKvNka3i3210/m9eMgkAQBEiwgtAL1AEBBBBQARvMfplGB41xGrtpxLH8Vn4rX2skNJLLSlkp9r2L9h2R22kkF5up/1wNCgJBESDBCkpPUA8EEIitQPLM7MfL8fKwhn29T1xLJ+kkj2tQEAizAIPcw9x71B0BBEIv4B3Mbl/ZE+fkKvQdSgMQ+I8Ad7D4KCCAAAIVErDB7PZdgl9o2PcJnqFBQQCBaAiQYEWjH2kFAgiETMAdzG7fg2i/76ZBQQCB6AjwiDA6fUlLEEAgJAI2mL23xi4aszVIrkLScVQTgTwESLDywGJXBBBAoBiB5JnZbRLRVzV21qAggED0BEiwotentAgBBAIoYFMMuDOzXyfXydMaDGYPYEdRJQR8EmAMlk+QnAYBBBDIJJA8mP1ReVRO16AggEC0BUiwot2/tA4BBCosYAPYT9aor2Ezs3fVoCCAQPQFeEQY/T6mhQggUCGBO+VOZzC7zchug9lJrirUEVwWgQoIkGBVAJ1LIoBAtAXcweyXyCVyjMZUDQazR7vPaR0CXgESLK8IywgggEARAt7B7GNkDIPZi/DkUATCKsAYrLD2HPWuuMBiWSzfaHiLfUltMw2bQDK52PJeGjYWhxJNAXcw+xJZIo9pnKZBQQCBeAqQYMWz32l1kQI2WPkIjS0a+ZS+0ldGa1CiJ5A8mN1+z3ir6PUxLUIgHwEeEeajxb4I/EegkTQq6E6U3dmiRE/AHczeXtozmD163UuLEChIgASrIDYOirvAwXKwrNVIeGKkjHRofqbh3WbL92pQoiPgHcz+irzCYPbodC8tQaAoARKsovg4GAEE4ipgg9mP0rCk2WZmZzB7XD8JtBuB9AKMwUrvwloEEEAgo0DyYHabmZ3B7Bmp2IBAbAVIsGLb9TQcAQQKEZgsk+UUjQYa9rKDPS6mIIAAAl4BHhF6RVhGAAEEMgh4B7OTXGWAYjUCCAgJFh8CBBBAoAaB5MHsx8lxzszsbTUoCCCAQCYBEqxMMqxHAAEEVMA7mP0peUoaa1AQQACBbAKMwcqmwzYEEIi1wPvyvt6vOk7nZd86M/upcmqsPWg8AgjkLkCClbsVeyKAQIwEGMweo86mqQiUQIBHhCVA5ZQIIBBugWEyTHpruDOzM5g93P1J7RGohAAJViXUuSYCCARCwP0uSZtl34o7mP1SuVSO12AweyC6iUogEEoBHhGGstuoNAIIFCOwQTbItRq3alixL2c+S+NzjVc1bGZ2i1oaFAQQQKAQARKsQtQ4BgEEQi3wF/mL/H8abrE7WQ9r1NZgZvZQdy2VRyAwAjwiDExXUBEEECiHgN29GqGRrliitZcGBQEEEChWgDtYxQpyPAIIBE5gtayWpRpfaizTWK5hv7d1H2us18hU5sk82V+DggACCBQjQIJVjB7HIoBA2QQ2y2b5SsOSJUuU7Pc2P5X9dJMo22a/X6ORrrSUrZFum7tuZ9k522a2IYAAAjkJkGDlxMROCCBQCgFLmty7TJY0WXKU/NNmUXfXrZN11apgg9B31NhJo43Gbhru770/t5Ftqo4/XA53BrZ7y0/kJ3KQBgUBBBAoVoAEq1hBjkcAgWoC38v38oVGtoTJtlkCla7Ul/p6H2lnJ2nqrHGMhpswNZfmVb/fXraXBhr5ln/Jv5xpGGZruMWuZQPc+RqcfDXZHwEE0gmQYKVTYR0CCFQT2CSb5DMNu8OUfGcpXRJV090mm8DTEifvXSZ3OfluU7WK+LDCrjNDo5/GvzU6akzXILnyAZdTIICAI0CCxQcBgZgLfCffOWOZ0iVKyetyudvUXbo7d538vNtUqu6xKRks0bPSWoPkqlTSnBeBeAqQYMWz32l1xAWKvdtkyYclHZYoVfpuU8S7iuYhgEBEBUiwItqxNKv8AgtlofxTw8pijQc0ztXwczbwuN5tKn9vckUEEECgOAESrOL8OBoBR+BNjUM1bBJLKzZNwG813tC4RyNb4W5TNh22IYAAAuEUIMEKZ79R64AJ/EH+UJVcJVftXrlX9tPYTsMdz+QdIJ5pbFMTaSLtNOytuTCNbQpY11AdBBBAoCICJFgVYeeiURL4UX6UdzQylYEyMGWTvSFnczfZYPA9NdpqtNKw8U623t1m6+ppUBBAAAEEwidAghW+PqPGAROwAeEWNmlmunKOnCPnabhJlN3NoiCAAAIIRFuABCva/UvryiBgXxBsj/HsK1u8xRKvyzR+rkFBAAEEEIiPQO34NJWWIuC/wLvyrnTR+EbDZh/3lqvkKpIrLwrLCCCAQAwESLBi0Mk0sTQCj8gj0lXDBqlP0rCpGXprWGmm8aLGIA0KAggggED8BEiw4tfntLhIAZuC4WyNMzUswbIB7r/WsMHpx2pYsQHrR2hQEEAAAQTiKUCCFc9+p9UFCtgjwQM17EuBr9OYoGGD1ykIIIAAAggkCzDInc8DAjkK3Cf36YQLA53Hf/ZIsKcGBQEEEEAAgXQC3MFKp8I6BJIE3EeCF8qF8iuNtzVIrviIIIAAAghkEyDByqbDttgLzJf5zluC7iPB8TKeR4Kx/1QAgAACCNQswCPCmo3YI6YC9h2Cl2rwSDCmHwCajQACCBQhwB2sIvA4NJoC7iPBi+QiHglGs4tpFQIIIFByARKskhNzgTAJJD8SHCJDZKIGbwmGqQepKwIIIBAMARKsYPQDtQiAwDAZJr/Q+EFjsobNwl5Lg4IAAggggEC+AiRY+Yqxf+QEVstqZ+JQG291qIa9JdhDg4IAAggggEChApFOsObOnSt9+/aV1q1bS7169WSnnXaS888/X5YsWVKoF8dFTGCezKt6S9AeCdrEoTtoUBBAAAEEEChGIDJvEdaqtfVRTiKRcDymTp0qvXr1kg0bNlT5LFu2TEaNGiUvvPCCzJ49W3bcccdi7Dg25AL2SPBqjRYaL2nY3SsKAggggAACfghE9g7W1Vdf7SRXHTp0kOnTp8uqVatkypQp0q5dO+cO1g033OCHH+cIoYA9EjxLwx4J2qNAeyRIchXCjqTKCCCAQIAFIptgvfXWWw773XffLd26dZMmTZpIjx49ZPjw4c768ePHB7hbqFqpBOyLmW3i0Mc17tCwiUN5JFgqbc6LAAIIxFcgsglW+/btnV7t0qVLSu8ecsghzjLjsOL3obdHggdrrNKwtwQv0eAtwfh9DmgxAgggUA6ByCVYNhbLfr3//vuO36JFi1Ic69bdOuysadOm5fDlGgEQ+F6+l74a9kjQvkPQ7mIdokFBAAEEEECgVAKRS7C8UEOHDk1ZNXPmTGfZvZPl3Z/laAlYMmVzWz2rYY8En9doqUFBAAEEEECglAKReYvQfXuwJqzbb7/d2eXiiy+uaVe2h1zAfUtwe9neeSTIXauQdyjVRwABBEIkEJkEK1fzcePG5bor+4VU4Dv5Ts7XGKNxlMaDGty1CmlnUm0EEEAgpAKRf0QY0n6h2gUK2JQLB2mM07BHgs9pkFwViMlhCCCAAAIFC8TuDlbBUhwYeAH3keCOsqO8pmFjr0pZFsti+UYjuXwmnzmL6zTmaCSXelJP9tKor0FBAAEEEIi2QCwTLO+s7/l28aZNm5yJSynBEKjEI8GX5WU5QmOLRrryiXzizLflLfY242gNCgIIIIBAtAVimWAV26VPPPGEjB07NqfT5Dr4PqeTsVM1gRkyQ07TWKJhjwQHapRjbqtG0si5E2V3qvIpzaRZPruzLwIIIIBASAVimWAVm/ScccYZYr9yKT179sxlN/YpQMAeCV6lsZNGOR4JJlfRJixdoZEuwVov66WBhrdY4keC5VVhGQEEEIimQCwTrGh2ZXxaZY8Ef6vxtMbRGvaWoE3FUO6yjWyNcl+X6yGAAAIIBF+ABCv4fUQNkwTskeCpGss0yvlIkE4It8AH8oEzk//XGsnFHi1beVPDO2bOHgNfo2Fj7SgIIIBAvgKRmqbh0UcflV133VWaN28uAwcOlM2bN8uGDRvk8ssvlzZt2jhf+Ny7d++qr9HJF4v9KytgjwQP1aitYY8E+S7ByvZHmK4+VsbKRA17szM5lstypxk/aHi3TZNpcq8GBQEEEChEIDJ3sN566y0566yzZMuWrW91DR8+XNq1a+d8qfMdd9xRZfPCCy/IoYceKvPnz5fWrVsXYsYxZRZYKSudR4L2j6S9hXefxnYaFARyFfid/E7qamzSSC42Xm6mxj4aLTS85WQ52buKZQQQQCAngcgkWCNGjHCSq1NOOUVGjhwpl1xyidx1112yfPlyOeCAA2TMmDHO3awTTzxR3nvvPbGvzBkyZEhOSOxUOQF7dGNvCfJIsHJ9EIUrN5WmcrkGBQEEECiXQGQeEb722muO2Z/+9Cdp2bKlXHnllfLxxx/LmjVrxL7w2R4d7rnnnjJo0CBnvwkTJpTLmOsUIJCQhD4QHCY9NOpoTNfgkWABkByCAAIIIFARgcgkWEuXLnUALYmy8tOf/rQKtEuX/0742LVrV2f9J598UrWd3wRLwB4Jnqhhg5KP1Zir4R2AHKwaUxsEEEAAAQRSBSKTYNmAdit16tRxftqAdrfYoHe3tGixdZzFunX5TRBZdQJ+U1KBN+QN2V9jgoa9JfiEBuOtSkrOyRFAAAEESiAQmQRrjz32cHgWLVqUlWnFihXO9rZt22bdj43lFbBHgkM1DtGwwcg8EiyvP1dDAAEEEPBXIDIJ1mGHHebITJs2rUrIZmz3ztr+xhtvONuZYd3fD1IxZ7MZ0U/QuFrDHg2+pcEjwWJEORYBBBBAoNICkUmw+vXr51g+8MADWU3/8Y9/ONsvvPDCrPuxsTwC9kjwAA2bo8geCT6uYW98URBAAAEEEAizQGSmaejcuXO1u1XpOsbmwaJUXsAeCd6s8TeNXTRe1+isQUEAAQQQQCAKApFJsKLQGXFpgz0SPE/jWY1TNGy2bO5axaX3aScCCCAQDwESrHj0c2BaaXeqbOLQrzTu1uivQUEAAQQQQCBqApEZgxW1jolae7bIFrlew75LsL6GJVokV1HrZdqDAAIIIOAKcAeLz0LJBeyR4Lka4zRO1bhHg0eCJWfnAggggAACFRQgwaogfhwubfNZna7BI8E49DZtRAABBBBwBXhEyGehJALuI0H7LsEGGjwSLAkzJ0UAAQQQCKgAd7AC2jFhrta38q3zSPA5DRvQboPZeSQY5h6l7ggggAAC+QqQYOUrxv5ZBeyRoCVVlmQ9qHG2BgUBBBBAAIG4CfCIMG49XqL2Jj8SbCgNne8SJLkqETanRQABBBAIvAB3sALfRcGv4JfypZypMVnDBrTbI8FtNSgIIIAAAgjEVYAEK64971O7X5PXnKTKpmLgkaBPqJwGAQQQQCD0AjwiDH0XVqYB7iPBntJTttGwRItHgpXpC66KAAIIIBA8Ae5gBa9PAl+j5bLceST4kgaPBAPfXVQQAQQQQKACAiRYFUAP8yWnyTQnqVqpwSPBMPckdUcAAQQQKKUAjwhLqecNMEEAABgaSURBVBuhcyc/EmwmzWSWBo8EI9TBNAUBBBBAwFcB7mD5yhnNk9kjwX4aL2ucoXGXBm8JRrOvaRUCCCCAgD8CJFj+OEb2LDb1go23WqXBI8HIdjMNQwABBBDwWYBHhD6DRuV07iPB3tJbdtCYrcEjwaj0Lu1AAAEEECi1AHewSi0cwvMnPxK0R4P2SLCJBgUBBBBAAAEEchMgwcrNKTZ7TZJJziPBNRo8EoxNt9NQBBBAAAGfBXhE6DNoWE+3WTbL9Rq/0WilwVuCYe1J6o0AAgggEAQB7mAFoRcqXIdlssx5S3CKxgUad2rY7OwUBBBAAAEEEChMgASrMLfIHPWivChnafBIMDJdSkMQQAABBAIgQIIVgE6wKvyoMVBjsUZysUd3H2o01WirkVzqSB05SeNCjXyLnfevGjdr7KvxhMZeGhQEEEAAAQQQKF6ABKt4Q1/OMFNmyv0amcoSWSLva3jLe/Je3gmWPRK0CUNf0bDkbJgGjwS9siwjgAACCCBQuAAJVuF2vh75K/mV3K5hUyQkl4/kI3lKo4HGpRre0kt6eVdlXX5BXnAeCdodM94SzErFRgQQQAABBAoWIMEqmM7fA+1xX7oE6ll5tirBGiJDCr4ojwQLpuNABBBAAAEE8hZgmoa8ycJ3wFJZKodrDNW4WMMeRzLeKnz9SI0RQAABBMIjwB2s8PRVQTV1HwmulbXyLw17PEhBAAEEEEAAgdIKcAertL4VO/tG2SiXaNjEoW007LsESa4q1h1cGAEEEEAgZgIkWBHscHskeISGTRhqjwRnaHTQoCCAAAIIIIBAeQR4RFge57JdZaJMlLM17JHgQxr2vYIUBBBAAAEEECivAHewyutdsqu5jwSPkqOqHgmSXJWMmxMjgAACCCCQVYAEKytPODbaJKT2liCPBMPRX9QSAQQQQCD6AjwiDHkfT5AJziNBu4P1pIZ9dQ4FAQQQQAABBCorwB2syvoXfHX3keDRcrTzHYU2txXJVcGcHIgAAggggICvAiRYvnKW52TeR4JvypuypwYFAQQQQAABBIIhwCPCYPRD2lrYdxD+UcPKDxp2t8ruUl2lsUnDtvfRoCCAAAIIIIBAsARIsILVH1W1eVqelpM1EhpuGS9bY1/Z10muuGsV0M6jWggggAACsRfgEWFAPwK3yq0pyVVyNS+UC0muAtpvVAsBBBBAAAETIMEK6OdgvszPWLP35f2M29iAAAIIIIAAApUXIMGqfB+krcFOslPa9bZyZw0KAggggAACCARXgAQroH2TafB6fakvx2tQEEAAAQQQQCC4AiRYAe2b6+Q6OVIjuTSQBjJcwwa5UxBAAAEEEEAguAIkWAHtG0um7Iub/65hpaHGAo3+GhQEEEAAAQQQCLYACVaw+0c6alixR4O7a1AQQAABBBBAIPgCJFjB7yNqiAACCCCAAAIhEyDBClmHUV0EEEAAAQQQCL4ACVbw+4gaIoAAAggggEDIBEiwQtZhVBcBBBBAAAEEgi9AghX8PqKGCCCAAAIIIBAyARKskHUY1UUAAQQQQACB4AuQYAW/j6ghAggggAACCIRMgAQrZB1GdRFAAAEEEEAg+AIkWMHvI2qIAAIIIIAAAiETqBuy+ka6ut/IN7JYI7l8LB87i5s15mgklzpSR/bRqKdBQQABBBBAAIHgCJBgBaQvFspC2V9jvUa6skbWSBcNb+ku3WWaBgUBBBBAAAEEgiPAI8KA9IXdjaqrkW+x7yikIIAAAggggECwBPL/Fz1Y9Y9MbfaQPeQrjXR3sNbKWucxYLoEbFvZNjIGNAQBBBBAAIGoCJBgBagnG8nW8FapuTT3rmIZAQQQQAABBAIswCPCAHcOVUMAAQQQQACBcAqQYIWz36g1AggggAACCARYgAQrwJ1D1RBAAAEEEEAgnAIkWOHsN2qNAAIIIIAAAgEWIMEKcOdQNQQQQAABBBAIpwAJVjj7jVojgAACCCCAQIAFSLAC3DlUDQEEEEAAAQTCKUCCFc5+o9YIIIAAAgggEGABEqwAdw5VQwABBBBAAIFwCpBghbPfqDUCCCCAAAIIBFiABCvAnUPVEEAAAQQQQCCcAnwXYYn7be3atXLRRRcVdZV58+bJihUrpE6dOkWdh4PLI7B69Wpp3Lix1KpVqzwX5CpFCaxatUq23ZYvTS8KsYwH019lxPbhUvb3YPfu3Ys608KFC0P592mthJaiWs7BWQUWLVrkJEfFlCFDhkjHjh1l1113LeY0HFsmgREjRsjZZ58tTZs2LdMVuUwxAoMGDZK//OUvxZyCY8soQH+VEduHS91yyy0yatSoos7UpEkT6dChQ1HnqMTBJFiVUM/zmpdffrn069dPOnXqlOeR7F4JgVNPPVWGDx8urVq1qsTluWaeAj179pQpU6bkeRS7V0qA/qqUfGHXjXN/MQarsM8MRyGAAAIIIIAAAhkFSLAy0rABAQQQQAABBBAoTIAEqzA3jkIAAQQQQAABBDIKkGBlpGEDAggggAACCCBQmAAJVmFuHIUAAggggAACCGQUIMHKSMMGBBBAAAEEEECgMAESrMLcOAoBBBBAAAEEEMgoQIKVkYYNCCCAAAIIIIBAYQIkWIW5lfUomxF8m222Kes1uVjhAs2bN5d69eoVfgKOLKtA69aty3o9LlacAP1VnF+5j45zfzGTe7k/bVwPAQQQQAABBCIvwB2syHcxDUQAAQQQQACBcguQYJVbnOshgAACCCCAQOQFSLAi38U0EAEEEEAAAQTKLUCCVW5xrocAAggggAACkRcgwYp8F9NABBBAAAEEECi3AAlWucW5HgIIIIAAAghEXoAEK/JdTAMRQAABBBBAoNwCJFjlFud6CCCAAAIIIBB5ARKsyHcxDUQAAQQQQACBcguQYJVbnOshgAACCCCAQOQFSLAi38U0EAEEEEAAAQTKLUCCVW5xrocAAggggAACkRcgwYp8F9NABBBAAAEEECi3AAlWucW5HgIIIIAAAghEXoAEy4cunjFjhlx00UWy++67S4MGDaRdu3Zy4oknyqxZs9Keff369XL99ddL+/btnf3tpy1v2LAh7f7pVs6dO1cuu+wy6dixozRq1EiaNm0qe++9t1x44YUyb968aof4cc1qJw3piqDYnXzyyVKrVi3nl7fQX16R1OVy2Ll94/2Zrmb0V6qK1yzT59yO8tPurbfekpNOOkl22GEHadiwoXTv3l3GjRtXrcv8vGa1k7MiRSDWfZKgFC2gn6ZEul+1a9dOPPXUU9XO36dPn7T7618M1fbNtCLd9dx1derUSTz22GMph/pxzUx1Cdv6INg9/PDDifr161d9DryG9JdX5L/L5bLL9DlJVzP6K1WlEnbPPPNMol69emn/bvX2Gf3lFSnNctz7RErDGq+zduvWLfHAAw8kPvvss8S6desSmrEnbJ39JbPXXnulYEyYMMFZr3ecEhMnTkysXbvW+WnLtv6FF17ICe/AAw9MjBgxIrFw4cKE/m8s8cMPPyT0jlnilFNOcc6zyy67VJ3Hr2vmVLEQ7FRpuy+++CLRrFmzxA033JA2waK/Mn+IymnnJgmZa7N1C/1VXajcdsuWLUtst912zp+n3r17J959913n7+LZs2cnfvOb36RUkP6q3l+lWEOfJBIkWKX4ZOk5P/nkE+cPe926dVOucOaZZzrrBw8enLLelm39WWedVVSNvv76a+c89g+4W0p9zaIqHKCDy2V35JFHJjp16pTYuHFj2gSL/sr8oSinXa5JAv1Vvb/KbXfttdc6f5b23HNPJ7HKVuivbDrVtx1wwAHOf+ZXrlxZfWOWNfQJCVaWj0dxm7766ivnD3zjxo1TTtShQwdnvY6TSllvy7bee8cr11qsXr068c477yTcvzz+8Ic/VB1aqmvmWreg71dOu//7v/9zHg26/Z/uHyL6K/0nptx2bt/o2MaEjudJdO3aNfHqq69Wqxz9VY2k6j8O5bL7xS9+4Vxz2LBh1SvjWUN/1UiUsoP758D+DJxxxhmJl156KbFly5YaT0KfkGDV+CEpdIerrrrK+QN/yCGHpJyiSZMmznr7Rz252LKt33bbbfO6pPvhd3/qgPnE0KFDnbsjbvH7mnlVMMA7l9vuo48+chLuG2+8sUrFrUMyE/1V/UNTCTvv58OW9aUUZwgA/VW9j5LXlNvO7tjbNWfOnJkYOHCgcwff/hwddthhiddee43+yt5dWbc+/vjjiV69eiVsTLHbr7vttpszxOHzzz/PeCx9QoKV8cNRzIZHHnkkoW/NOI8Hp02blnIq90O6efPmlPW2bB9eG6CeT/H+RWZ/qVx66aXOuCy3+H3NfOoX5H3LaWf9q280JTp37pyS/Lp1SHaiv1I/NZWy69evnzPGcc2aNYkpU6Y4j5+sv7wvo9Bf1f+Ul9vO/t60vnHHoCb/2baB78l/D9Nf1fsrlzWLFy9O6Nvuzvhe19csbYzbk08+mdC34FNOQ5+QYOXyucprH0uu7INlCZa97eQt+dyd8CYAtpypfPvtt84AeXtebvvpFA5Vu+ZzzUznj/J6v+yy9dfNN9/sPBqcP39+CqV7TPJK+iv101Yqu2z9le7zPn36dOfPVqtWrVI201/ptFLX+WGXrb/cPjjiiCOcAe728pD9PPzww50+69GjR1WF6K+a+yvbHvZ48MUXX0yceuqpzh1dt19atmyZ9s9FnPsk87/Y2YTZllbgnnvucW6jWnJ19913p90nn+f/2f5CSXtyXblo0SLnA7/jjjtW7ZLPNTOdNw7ri7XL1l/JfxGl289dZ870V+qnrVR26foh2+d81apVzp8t74sr9Fc2ta3b/LDL1l82dtW221umycWWbb3OFVi1mv6qub+y7WEJ1qRJkxKnnXZa1gSLPkkkmGhU//T5Ue644w7p37+/JawycuRI5/fpik4R4Kx+/vnnUza7y126dKlab+fy/kp3zuR17mSl+hda1ep8rlnT+aO8vVg7b1/ZsltsYsNcC/2VKlUqu2z9la6v9JV/Z7VNYplc6K90Wqnr/LDL1l86oNq5YPKfueTl5Ml86a+a+yvdHjoNkfz97393JsbWu1Ly73//W3Ssr+i0GDJ69GhZsmRJymH0ydYPpH4mKcUI2KBlo7Q7V3fddVfWU40fP97Z1+a9skd69kqx/XTnwbI5WnIpNuhw7NixiS+//NIZ02NvLeqMxYl9993XOb+9zu4Wv66ZS73CsE+Q7KyvvH8M6a/cPkWltDvmmGMSL7/8svMyynfffZewCRP1GxqcvjrvvPNSKkh/pfZXJezsjor1jT0SXLBggfOI0H66jwjtzzx/H+b258q71xNPPOH8e+Id5K7JVtZB7vQJY7C8n6WClt2/6DP9tPmVkssJJ5zg/GXg/aVfr5Pz9b3HJi9vv/32zl8ufl8z58oFfMcg2bl18ZL58RnxnjNqy6W0y/QZadOmTdp/VOiv/366KmV3+umnV/s71epib+7q12Px92GBfwG4/WnTNJjx5MmTc5qmwS4X9z5hDFaBH7rkwzL9heKu9yZYdtfqmmuucd7GsDdc7Kct1zRBXvI1bdDoueee6xxrY0LsL5H99tsvccUVVySWLl1arVV+XLPaSUO6Ikh2mZIE+qvmD1cp7WyuH/sPj/1nxf0zOmDAgIQ+BklbMfrrvyyVsrM7+UOGDHHe9rQXSlq0aOG88WmD3b2F/vKKZF7ef//9E8OHD0+sWLEi804ZtsS9T2qZi/5FRUEAAQQQQAABBBDwSYBB7j5BchoEEEAAAQQQQMAVIMHis4AAAggggAACCPgsQILlMyinQwABBBBAAAEESLD4DCCAAAIIIIAAAj4LkGD5DMrpEEAAAQQQQAABEiw+AwgggAACCCCAgM8CJFg+g3I6BBBAAAEEEECABIvPAAIIIIAAAggg4LMACZbPoJwOAQQQQAABBBAgweIzgAACCCCAAAII+CxAguUzKKdDAAEEEEAAAQRIsPgMIIAAAggggAACPguQYPkMyukQQAABBBBAAAESLD4DCCCAAAIIIICAzwIkWD6DcjoEEEAAAQQQQIAEi88AAggggAACCCDgswAJls+gnA4BBBBAAAEEECDB4jOAAAIIIIAAAgj4LECC5TMop0MAAQQQQAABBEiw+AwggAACCCCAAAI+C5Bg+QzK6RBAAAEEEEAAARIsPgMIIIAAAggggIDPAiRYPoNyOgQQQAABBBBAgASLzwACCCCAAAIIIOCzAAmWz6CcDgEEEEAAAQQQIMHiM4AAAggggAACCPgsQILlMyinQwABBBBAAAEESLD4DCCAAAIIIIAAAj4LkGD5DMrpEEAAAQQQQAABEiw+AwgggAACCCCAgM8CJFg+g3I6BBBAAAEEEECABIvPAAIIIIAAAggg4LMACZbPoJwOAQQqJzBp0iQ55phjpFmzZtKoUSPp1q2bvPTSS9Uq9PHHH8txxx0nTZo0kZYtW8qAAQPkxx9/lFq1ajm/vOXhhx+WHj16OOdt0KCB/PSnP5U//elP8v3333t3ZRkBBBBwBGoltGCBAAIIREEgXXJUr149eeONN6Rz585OE7/55hv5+c9/LsuWLUtpcp8+fWTMmDHOOvevRft55plnyqOPPpqWZ5999pHXX39dmjZtmnY7KxFAIL4C3MGKb9/TcgQiJ9C3b1+ZM2eOrFu3Tuwu1YknnigbN26UW2+9taqtQ4cOdZKrXXfdVV555RVZtWqV89OO85b777/fSa523nlneeKJJ+Trr7927nRZUnXggQfKggULZNCgQd7DWEYAAQS4g8VnAAEEoitgCVGrVq3kJz/5iXz22WdOQ/faay/54IMPZNy4cc7jRLfYsj02tOLewTr44INlxowZMm3aNOnevXvVvvabTz75RHbffXfZY4895MMPP0zZxgICCCDAI0I+AwggEAmBzZs3y+233y6PPPKIk/DYnSa31K9fX9avX+8sNmzY0Pn9ypUrnTFVbrHlFi1aOItugtW4ceOU81TtnPQbewS5YcOGdJtYhwACMRaoG+O203QEEIiQwJVXXukkWOlKoQlQLkNU7REkBQEEEPAKMAbLK8IyAgiEUuDBBx906m0/v/32W9m0aZPz01ts7JWV1157LWXT9OnTvbuKDWK3MnPmTOeuVqZf1Q5kBQIIxF6ABCv2HwEAEIiGgHu3yd7os0d7ixcvlv79+1drnDvuauDAgc7YqjVr1jg/bdlbfv/73zurbGzWfffdJ59++qmsXbvWecRojyHvvfdeZyoICgIIIOAVYAyWV4RlBBAIpUC/fv2qTadwwgknyNixY532uAnYV199JR07dpTly5entPP444+XZ555RurWreu8eegWS7yGDx+e1SSXR4lZT8BGBBCInAB3sCLXpTQIgXgKWBJkSZYNVLfB6+edd5489NBD1TDsrcJXX31Vjj76aGcyUtvf7nQNHjzY2bd58+Ypx9x5550yefJksSkg2rZtKzaofZtttnEeH1522WXy9ttvV7sGKxBAAAHuYPEZQAABBFRgxIgRcvHFFzsztk+ZMgUTBBBAoCgB7mAVxcfBCCAQRgF7dGjjrn744Qdn0lEbS/XXv/7VacpJJ50UxiZRZwQQCJgAd7AC1iFUBwEESi+Q7it17Kr2dTo2S7vNm0VBAAEEihHgDlYxehyLAAKhFHj++eflyCOPlDZt2jjJlM3IbvNovfzyyyRXoexRKo1A8AS4gxW8PqFGCCCAAAIIIBByAe5ghbwDqT4CCCCAAAIIBE+ABCt4fUKNEEAAAQQQQCDkAiRYIe9Aqo8AAggggAACwRMgwQpen1AjBBBAAAEEEAi5AAlWyDuQ6iOAAAIIIIBA8ARIsILXJ9QIAQQQQAABBEIuQIIV8g6k+ggggAACCCAQPAESrOD1CTVCAAEEEEAAgZALkGCFvAOpPgIIIIAAAggET4AEK3h9Qo0QQAABBBBAIOQCJFgh70CqjwACCCCAAALBEyDBCl6fUCMEEEAAAQQQCLkACVbIO5DqI4AAAggggEDwBEiwgtcn1AgBBBBAAAEEQi5AghXyDqT6CCCAAAIIIBA8ARKs4PUJNUIAAQQQQACBkAuQYIW8A6k+AggggAACCARPgAQreH1CjRBAAAEEEEAg5AIkWCHvQKqPAAIIIIAAAsETIMEKXp9QIwQQQAABBBAIuQAJVsg7kOojgAACCCCAQPAESLCC1yfUCAEEEEAAAQRCLkCCFfIOpPoIIIAAAgggEDyB/x+LHQmEQ2BYHgAAAABJRU5ErkJggg==" width="216" height="216" /><img class="alignright" title="LibreOffice: Support dependent on prestige (click to enlarge)" alt="Support dependent on prestige" 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" width="216" height="216" />Again there is a significant effect of age on this preference. Younger people prefer to be actively supported by the software. The older the people are, the more they only want support after asking for it. The effect size of eta=0.762 highlights the relevance of this result. Can you think of a reason for this finding?</p>
<p>As in some other preferences before, again we find a relation between this preference and the motif <em>prestige</em>. People who rate higher on prestige favour active support (F<sub>(1,4108)</sub>=44.12; eta=0.567).</p>
<h2>Part 3: Individualization</h2>
<h3>Settings</h3>
<p>The next question was about the preferences of individualization when using software. Participants were asked to indicate whether they use the software&#8217;s default setting on the one side or configure it individually in accordance to personal preferences on the other side. We asked this question as it not only shows if we should provide more options to individualize: it also tells us something about the real expertise of our participants/users. We would expect more expert users to make more extensive use of individualisation options.</p>
<p><img class="alignleft" title="LibreOffice: Settings dependent on age (click to enlarge)" alt="Settings dependent on age" src="data:image/png;base64,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" width="216" height="216" />All in all, there is a tendency towards an individual configuration. Surprisingly it shows, that older people seem to be more interested in individual configuration than younger people (F<sub>(1,4027)</sub>=85.12; eta=0.802) while we also found that younger people see themselves more as experts. Perhaps younger people overrate their skills or &#8211; take it the other way around &#8211; older people have excepted the computer to be more complex than one would hope?</p>
<p><img class="alignright" title="LibreOffice: Settings dependent on arousal (click to enlarge)" alt="Settings dependent on arousal" src="data:image/png;base64,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" width="216" height="216" />Another interesting significant effect is that people with a higher motif for <em>arousal</em> prefer individual configuration (F<sub>(1,4070)</sub>=45.12; eta=0.577). Obviously users needs to be a bit adventurous to dare to individualise their software.</p>
<h3>Templates</h3>
<p>Last but not least we asked, whether the participants prefer to use default formatting or self-created formatting. Again we would expect more advanced users to prefer self-created formatting. So, like in the question above, the answer should tell us something about the expertise of the users. But again, this question does not seem to be easy to answer.</p>
<p><img class="alignleft" title="LibreOffice: Templates dependent on age (click to enlarge)" alt="Templates dependent on age" 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" width="216" height="216" /><img class="alignright" title="LibreOffice: Templates dependent on arousal (click to enlarge)" alt="Templates dependent on arousal" 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" width="216" height="216" />In result it shows that older people prefer self-created formatting (see graph on the left), mostly people between 50 and 60 (F<sub>(1,4020)</sub>=74.3; eta=0.761). Did they make bad experience in the past or do the simply have a different need?</p>
<p>Again it shows &#8211; like in the question above &#8211; that people with high <em>arousal</em> motif use self-created formatting more willingly. The effect size eta=0.476 (F<sub>(1,4060)</sub>=34.45) is not overly high, but points at the effect. The reason could be the same as for individual configuration: those people like to be aroused by trying out functions of the software instead of using the same defaults again.</p>
<h3>That&#8217;s it folks.</h3>
<p>These are all results of our survey for now! We will soon give the long awaited management-summary of the findings &#8211; hopefully in time for the <a title="LibreOffice Conference in Paris 2011" href="http://conference.libreoffice.org/" target="_blank">LibreOffice Conference in Paris</a>.</p>
<p>So we are looking forward to exchange with you &#8211; either in person on the conference or in the comments below. Did you like what we did? What should we improve in the next survey? Are there any questions you have and we could try to answer using the data from this survey?</p>
]]></content:encoded>
			<wfw:commentRss>http://user-prompt.com/libreoffice-user-research-results-vol-4/feed/</wfw:commentRss>
		<slash:comments>8</slash:comments>
		</item>
		<item>
		<title>LibreOffice user research – Results vol.3</title>
		<link>http://user-prompt.com/libreoffice-user-research-results-vol-3/</link>
		<comments>http://user-prompt.com/libreoffice-user-research-results-vol-3/#comments</comments>
		<pubDate>Wed, 07 Sep 2011 09:52:27 +0000</pubDate>
		<dc:creator>Björn Balazs</dc:creator>
				<category><![CDATA[Analyse]]></category>
		<category><![CDATA[Expertise]]></category>
		<category><![CDATA[Free Software]]></category>
		<category><![CDATA[Involve]]></category>
		<category><![CDATA[LibreOffice]]></category>
		<category><![CDATA[Open Usability e.V.]]></category>
		<category><![CDATA[Portfolio]]></category>
		<category><![CDATA[Profile]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[Team]]></category>
		<category><![CDATA[Test]]></category>
		<category><![CDATA[UserWeave]]></category>

		<guid isPermaLink="false">http://www.opensource-usability-labs.com/?p=1030</guid>
		<description><![CDATA[Impress is for people that want to impress and Base and Calc will become extinct? Read about the users and the usage of LibreOffice applications as part of the results of our extensive study of LibreOffice users.]]></description>
				<content:encoded><![CDATA[<p><strong>Impress is for people that want to impress and Base and Calc will become extinct? Read about the users and the usage of LibreOffice applications as part of the results of our extensive study of LibreOffice users.</strong></p>
<p>Today we discuss the results of our survey concerning the usage of the six LibreOffice applications. We also show how usage is related to other variables we talked about in the last posts (see <a title="LibreOffice user research – Results vol.1" href="http://test.user-prompt.com/?p=544" target="_blank">volume 1</a> and <a title="LibreOffice user research – Results vol.2" href="http://test.user-prompt.com/?p=777" target="_blank">volume 2</a>).</p>
<p>Writer is the tool which is used most often, followed by Calc. For us surprisingly infrequently used is Impress. The distance to the least used tools Draw, Base and Math is much smaller than expected.</p>
<p>Summing the results up, we found interesting relations between age, expertise and motifs and the frequency individual applications are used:</p>
<ul>
<li>Older people use Base and Calc more often than younger people</li>
<li>Unemployed and students use Calc less frequently than everyone else</li>
<li>Calc and Impress are more often used by people with high <em>arousal</em> and <em>power</em> motifs</li>
<li>People with higher ratings on <em>prestige</em> use Impress more frequently</li>
</ul>
<p>Knowing these facts can help to improve the different applications. As Base for example is more frequently used by older people it should be designed for older people&#8217;s needs and preferences.</p>
<p>Read on to get all details.</p>
<h2>Demographics</h2>
<p>As discussed <a title="LibreOffice user research – Results vol.2" href="http://test.user-prompt.com/?p=777" target="_blank">in the last post</a>, due to the large amount of data a lot of tests reveal statistical significance. Therefore we use the effect size &#8216;eta&#8217; to identify the relevant results (as a rule of thumb, eta should be greater than 0.5 to spot a highly relevant finding).</p>
<p><strong>Age</strong></p>
<p><img class="alignright" title="LibreOffice: Usage of components by age (click to enlarge)" alt="Usage of LibreOffice components depending on age" 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" width="216" height="216" />Age shows some interesting effects on the use of the LibreOffice applications. Older people seem to use Base about as often as they use Impress. And the older people are the more often they use Base. This effect size is rather high (eta=0.94). The same seems to be true for Calc. Young people use Calc much less often than older ones. This result could be related to a business need for databases and calculating data sheets. Draw and Writer also show relevant effects (see table 1) that cannot easily be explained. Perhaps the different usage pattern of students (see below) takes an impact here.</p>
<p><em>Table 1: Statistical analysis of LibreOffice usage by age. Results are sorted by effect size, </em><em>significant effects in red.</em></p>
<table border="0" frame="VOID" rules="NONE" cellspacing="0">
<tbody>
<tr>
<td align="LEFT" bgcolor="#C0C0C0" width="87" height="17">Test</td>
<td align="RIGHT" bgcolor="#C0C0C0" width="87">F</td>
<td align="RIGHT" bgcolor="#C0C0C0" width="87">df</td>
<td align="RIGHT" bgcolor="#C0C0C0" width="87">eta</td>
<td align="RIGHT" bgcolor="#C0C0C0" width="87">p</td>
</tr>
<tr>
<td align="LEFT" height="17">Calc~Age</td>
<td align="RIGHT"><span style="color: #ff0000;">166.62</span></td>
<td align="RIGHT"><span style="color: #ff0000;">4000</span></td>
<td align="RIGHT"><span style="color: #ff0000;">0.935</span></td>
<td align="RIGHT"><span style="color: #ff0000;">0.000</span></td>
</tr>
<tr>
<td align="LEFT" height="17">Base~Age</td>
<td align="RIGHT"><span style="color: #ff0000;">163.64</span></td>
<td align="RIGHT"><span style="color: #ff0000;">3857</span></td>
<td align="RIGHT"><span style="color: #ff0000;">0.935</span></td>
<td align="RIGHT"><span style="color: #ff0000;">0.000</span></td>
</tr>
<tr>
<td align="LEFT" height="17">Draw~Age</td>
<td align="RIGHT"><span style="color: #ff0000;">90.21</span></td>
<td align="RIGHT"><span style="color: #ff0000;">3867</span></td>
<td align="RIGHT"><span style="color: #ff0000;">0.823</span></td>
<td align="RIGHT"><span style="color: #ff0000;">0.000</span></td>
</tr>
<tr>
<td align="LEFT" height="17">Writer~Age</td>
<td align="RIGHT"><span style="color: #ff0000;">50.31</span></td>
<td align="RIGHT"><span style="color: #ff0000;">4029</span></td>
<td align="RIGHT"><span style="color: #ff0000;">0.621</span></td>
<td align="RIGHT"><span style="color: #ff0000;">0.000</span></td>
</tr>
<tr>
<td align="LEFT" height="17">Math~Age</td>
<td align="RIGHT"><span style="color: #ff0000;">4.91</span></td>
<td align="RIGHT"><span style="color: #ff0000;">3842</span></td>
<td align="RIGHT"><span style="color: #ff0000;">0.079</span></td>
<td align="RIGHT"><span style="color: #ff0000;">0.027</span></td>
</tr>
<tr>
<td align="LEFT" height="17">Impress~Age</td>
<td align="RIGHT">0.00</td>
<td align="RIGHT">3907</td>
<td align="RIGHT">0.000</td>
<td align="RIGHT">0.997</td>
</tr>
</tbody>
</table>
<p><strong>Business</strong></p>
<p style="text-align: left;"><img class="alignright" title="LibreOffice: Usage of components by business (click to enlarge)" alt="Usage of LibreOffice components depending on business" 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" width="216" height="216" />Obviously, unemployed people and students use Calc less frequently. This is probably related to the fact, that Calc is often needed in offices. Many people use it for their jobs (especially people who work in economics, as shown in the graph) rather than privately. So people with no job (and students) don&#8217;t need it as often. Another less apparent effect is that people from education and health seem to use Impress more often than people with other professions. Especially for the educational work this is comprehensible, as multimedia presentation are used regularly in schools and universities.</p>
<p>For all other applications there are no major differences between the businesses. This might be influenced by limitations in the question. For example a great amount of participants (almost 20%) indicated that they work in IT which was not present as a single selection option. For the next survey we will improve the options for this question.</p>
<h2>Motifs</h2>
<p>Most significant findings when looking at the motives and the usage of LibreOffice applications is that higher ratings on the dimensions <em>power</em> and <em>arousal</em> are accompanied by <em></em>a more frequent use of LibreOffice in general, and Impress and Calc in detail.</p>
<p>Most likely this is related to work issues. People with a higher <em>power</em> motif could be more career-minded, get to higher positions and hence need to use Impress and Calc (and LibreOffice in general) more often. On the other hand it is interesting and does not seem very clear to us why people with a higher <em>arousal</em> motif also use LibreOffice more often. Perhaps this is related to the fact that these people are more outgoing and hence need tools to create and present.<em></em></p>
<p><img title="LibreOffice: Usage of components by motifs (click to enlarge)" alt="Usage of LibreOffice components depending on motif" src="data:image/png;base64,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" width="432" height="144" /></p>
<p>Quite interesting is the fact that people with a high score on <em>prestige</em> use Impress more often. Although the effect size is only medium high (eta=0,39), it shows that presenting is important for people who want to gain recognition. This finding is a good evidence for the validity of motifs as we measured them. As a more humorist comment: people with a higher prestige do not seem to validate the presented results in a greater depth &#8211; at least they do not do that with LibreOffice applications.</p>
<p><em>Table 2: Statistical analysis of LibreOffice usage by motifs. Results are sorted by effect size &#8216;eta&#8217;, significant effects in red.</em></p>
<table border="0" frame="VOID" rules="NONE" cellspacing="0">
<colgroup>
<col width="120" />
<col width="87" />
<col width="87" />
<col width="87" />
<col width="87" /></colgroup>
<tbody>
<tr>
<td align="LEFT" bgcolor="#C0C0C0" width="120" height="17">Test</td>
<td style="text-align: right;" align="LEFT" bgcolor="#C0C0C0" width="87">F</td>
<td style="text-align: right;" align="LEFT" bgcolor="#C0C0C0" width="87">df</td>
<td style="text-align: right;" align="LEFT" bgcolor="#C0C0C0" width="87">eta</td>
<td style="text-align: right;" align="LEFT" bgcolor="#C0C0C0" width="87">p</td>
</tr>
<tr>
<td align="LEFT" height="17">Impress~Power</td>
<td align="RIGHT"><span style="color: #ff0000;">84.87</span></td>
<td align="RIGHT"><span style="color: #ff0000;">4165</span></td>
<td align="RIGHT"><span style="color: #ff0000;">0.796</span></td>
<td align="RIGHT"><span style="color: #ff0000;">0.000</span></td>
</tr>
<tr>
<td align="LEFT" height="17">Impress~Arousal</td>
<td align="RIGHT"><span style="color: #ff0000;">66.32</span></td>
<td align="RIGHT"><span style="color: #ff0000;">4171</span></td>
<td align="RIGHT"><span style="color: #ff0000;">0.716</span></td>
<td align="RIGHT"><span style="color: #ff0000;">0.000</span></td>
</tr>
<tr>
<td align="LEFT" height="17">Calc~Power</td>
<td align="RIGHT"><span style="color: #ff0000;">64.77</span></td>
<td align="RIGHT"><span style="color: #ff0000;">4259</span></td>
<td align="RIGHT"><span style="color: #ff0000;">0.704</span></td>
<td align="RIGHT"><span style="color: #ff0000;">0.000</span></td>
</tr>
<tr>
<td align="LEFT" height="17">Calc~Arousal</td>
<td align="RIGHT"><span style="color: #ff0000;">58.54</span></td>
<td align="RIGHT"><span style="color: #ff0000;">4264</span></td>
<td align="RIGHT"><span style="color: #ff0000;">0.668</span></td>
<td align="RIGHT"><span style="color: #ff0000;">0.000</span></td>
</tr>
<tr>
<td align="LEFT" height="17">Writer~Arousal</td>
<td align="RIGHT"><span style="color: #ff0000;">39.47</span></td>
<td align="RIGHT"><span style="color: #ff0000;">4302</span></td>
<td align="RIGHT"><span style="color: #ff0000;">0.516</span></td>
<td align="RIGHT"><span style="color: #ff0000;">0.000</span></td>
</tr>
<tr>
<td align="LEFT" height="17">Base~Power</td>
<td align="RIGHT"><span style="color: #ff0000;">27.46</span></td>
<td align="RIGHT"><span style="color: #ff0000;">4113</span></td>
<td align="RIGHT"><span style="color: #ff0000;">0.394</span></td>
<td align="RIGHT"><span style="color: #ff0000;">0.000</span></td>
</tr>
<tr>
<td align="LEFT" height="17">Impress~Prestige</td>
<td align="RIGHT"><span style="color: #ff0000;">27.07</span></td>
<td align="RIGHT"><span style="color: #ff0000;">4169</span></td>
<td align="RIGHT"><span style="color: #ff0000;">0.387</span></td>
<td align="RIGHT"><span style="color: #ff0000;">0.000</span></td>
</tr>
<tr>
<td align="LEFT" height="17">Draw~Arousal</td>
<td align="RIGHT"><span style="color: #ff0000;">25.03</span></td>
<td align="RIGHT"><span style="color: #ff0000;">4131</span></td>
<td align="RIGHT"><span style="color: #ff0000;">0.363</span></td>
<td align="RIGHT"><span style="color: #ff0000;">0.000</span></td>
</tr>
<tr>
<td align="LEFT" height="17">Math~Arousal</td>
<td align="RIGHT"><span style="color: #ff0000;">24.36</span></td>
<td align="RIGHT"><span style="color: #ff0000;">4105</span></td>
<td align="RIGHT"><span style="color: #ff0000;">0.355</span></td>
<td align="RIGHT"><span style="color: #ff0000;">0.000</span></td>
</tr>
<tr>
<td align="LEFT" height="17">Draw~Power</td>
<td align="RIGHT"><span style="color: #ff0000;">18.02</span></td>
<td align="RIGHT"><span style="color: #ff0000;">4124</span></td>
<td align="RIGHT"><span style="color: #ff0000;">0.270</span></td>
<td align="RIGHT"><span style="color: #ff0000;">0.000</span></td>
</tr>
<tr>
<td align="LEFT" height="17">Base~Arousal</td>
<td align="RIGHT"><span style="color: #ff0000;">13.77</span></td>
<td align="RIGHT"><span style="color: #ff0000;">4118</span></td>
<td align="RIGHT"><span style="color: #ff0000;">0.210</span></td>
<td align="RIGHT"><span style="color: #ff0000;">0.000</span></td>
</tr>
<tr>
<td align="LEFT" height="17">Math~Power</td>
<td align="RIGHT"><span style="color: #ff0000;">13.50</span></td>
<td align="RIGHT"><span style="color: #ff0000;">4099</span></td>
<td align="RIGHT"><span style="color: #ff0000;">0.206</span></td>
<td align="RIGHT"><span style="color: #ff0000;">0.000</span></td>
</tr>
<tr>
<td align="LEFT" height="17">Write~Prestige</td>
<td align="RIGHT">4.21</td>
<td align="RIGHT">4300</td>
<td align="RIGHT">0.064</td>
<td align="RIGHT">0.040</td>
</tr>
<tr>
<td align="LEFT" height="17">Base~Prestige</td>
<td align="RIGHT">4.09</td>
<td align="RIGHT">4117</td>
<td align="RIGHT">0.064</td>
<td align="RIGHT">0.043</td>
</tr>
<tr>
<td align="LEFT" height="17">Calc~Security</td>
<td align="RIGHT">3.95</td>
<td align="RIGHT">4264</td>
<td align="RIGHT">0.060</td>
<td align="RIGHT">0.047</td>
</tr>
<tr>
<td align="LEFT" height="17">Impress~Security</td>
<td align="RIGHT">2.08</td>
<td align="RIGHT">4172</td>
<td align="RIGHT">0.032</td>
<td align="RIGHT">0.149</td>
</tr>
<tr>
<td align="LEFT" height="17">Base~Security</td>
<td align="RIGHT">1.71</td>
<td align="RIGHT">4119</td>
<td align="RIGHT">0.027</td>
<td align="RIGHT">0.191</td>
</tr>
<tr>
<td align="LEFT" height="17">Draw~Prestige</td>
<td align="RIGHT">1.23</td>
<td align="RIGHT">4128</td>
<td align="RIGHT">0.019</td>
<td align="RIGHT">0.267</td>
</tr>
<tr>
<td align="LEFT" height="17">Draw~Security</td>
<td align="RIGHT">1.19</td>
<td align="RIGHT">4128</td>
<td align="RIGHT">0.018</td>
<td align="RIGHT">0.276</td>
</tr>
<tr>
<td align="LEFT" height="17">Math~Security</td>
<td align="RIGHT">0.47</td>
<td align="RIGHT">4105</td>
<td align="RIGHT">0.007</td>
<td align="RIGHT">0.495</td>
</tr>
<tr>
<td align="LEFT" height="17">Calc~Prestige</td>
<td align="RIGHT">0.01</td>
<td align="RIGHT">4263</td>
<td align="RIGHT">0.000</td>
<td align="RIGHT">0.937</td>
</tr>
<tr>
<td align="LEFT" height="17">Math~Prestige</td>
<td align="RIGHT">0.01</td>
<td align="RIGHT">4103</td>
<td align="RIGHT">0.000</td>
<td align="RIGHT">0.939</td>
</tr>
</tbody>
</table>
<p>Our next episode will be about the user&#8217;s preferences in using software in general and how they are related to the other variables.</p>
]]></content:encoded>
			<wfw:commentRss>http://user-prompt.com/libreoffice-user-research-results-vol-3/feed/</wfw:commentRss>
		<slash:comments>3</slash:comments>
		</item>
		<item>
		<title>LibreOffice user research &#8211; Results vol.2</title>
		<link>http://user-prompt.com/libreoffice-user-research-results-vol-2-2/</link>
		<comments>http://user-prompt.com/libreoffice-user-research-results-vol-2-2/#comments</comments>
		<pubDate>Tue, 30 Aug 2011 16:37:28 +0000</pubDate>
		<dc:creator>Björn Balazs</dc:creator>
				<category><![CDATA[Analyse]]></category>
		<category><![CDATA[Expertise]]></category>
		<category><![CDATA[Free Software]]></category>
		<category><![CDATA[Involve]]></category>
		<category><![CDATA[LibreOffice]]></category>
		<category><![CDATA[Open Usability e.V.]]></category>
		<category><![CDATA[Portfolio]]></category>
		<category><![CDATA[Profile]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[Team]]></category>
		<category><![CDATA[Test]]></category>
		<category><![CDATA[UserWeave]]></category>

		<guid isPermaLink="false">http://www.opensource-usability-labs.com/?p=777</guid>
		<description><![CDATA[Motifs have the potential to make the creation of personas easier and more scientific. We have done some research together with the users of LibreOffice and show how to work with motifs.]]></description>
				<content:encoded><![CDATA[<p><strong>Motifs have the potential to make the creation of personas easier and more scientific. We have done some research together with the users of LibreOffice and show how to work with motifs.</strong></p>
<p>The main results show that</p>
<ul>
<li>motifs <em>security</em> and <em>prestige</em> decline linear with age,</li>
<li>asking users for a self-estimation relevance or expertize does not work out,</li>
<li>motifs can be used for characterization and description of users.</li>
</ul>
<p>Read on to get the full details.</p>
<h2><strong>Motifs</strong></h2>
<p>A very common approach in usability is to create fictional characters to represent different user types within a targeted user group. This methodology is called <a title="Wikipedia on Personas" href="http://en.wikipedia.org/wiki/Persona_%28marketing%29" target="_blank">Personas</a>, promoted e.g. by Alan Cooper [1]. Thus a Persona is meant to stand for a set of users that are expected to use the product in a similar way. These Personas are usually described on dimensions like demographic, attitude, goals or behavior.</p>
<p>Unfortunately Personas are not scientifically proved in any way. They seem to work somehow, but are far away from the insights of the science of psychology in general or differential psychology more specifically. <a title="Wikipedia on Differential Psychology" href="http://en.wikipedia.org/wiki/Differential_psychology" target="_blank">Differential Psychology</a> studies the ways in which individual people differ in their behavior. At the <a title="Homepage of Apliki (German only)" href="http://www.apliki.de/" target="_blank">Psychological IT-Consultancy Apliki</a> we want to bring the findings of Psychology into the development of IT products, thus we cannot be satisfied with this situation.</p>
<p>We therefore apply well-established psychological approaches to the field of IT. In this study we are targeting a theory called &#8216;Zürcher Modell&#8217; by Norbert Bischof [2], better known as &#8216;motifs&#8217;:</p>
<p><strong></strong>Motifs are stable personality traits that show the importance of certain goals for the person. To find out more about our users, we asked them to self-estimate themselves on the five basic motifs that are fundamental to every human being:</p>
<ul>
<li><strong>Arousal </strong>is the motif of experiencing new and exciting situations.</li>
<li><strong>Prestige</strong> is the motif that describes the intention of being popular and admired by other people.</li>
<li><strong>(Social) Security</strong> is the need of being in secure relationships and not left alone.</li>
<li><strong>Achievement</strong> is the motif of being very fierce to deliver good performances.</li>
<li><strong>Power </strong>is the motif of wanting to take the lead in teams.</li>
</ul>
<p>To put it short: motifs try to explain why people act at all. Motifs promote a constant set-actual comparison. If e.g. a person with a low set-value in <em>social security</em> is in a crowded situation, this person will most likely try to leave this setting. For more specific reading the book from Bischof [2] is recommended.</p>
<p>In this study we are collecting data on motifs to find out how motifs influence our IT preferences. This addresses questions like: Do people with a high motif for <em>achievement</em> have other preferences in individualization of a software than people with a lower motif for <em>achievement?</em></p>
<p>There is a well-perceived questionnaire with 25 items for the self-assessment on the five motifs. This is obviously too long for a survey, so we decided to use only one question per motif. We chose the one that rated highest on the motif factor and we considered as most reasonable.</p>
<h2><strong>Relations between motifs and independent variables</strong></h2>
<p>To check whether the motifs &#8211; as we raised them in the survey &#8211; are actually usable, we first set them in relation to the independent variables introduced in the last post.</p>
<p>First, we dichotomised the variables <em>expertise,</em> <em>relevance</em> and <em>usage</em> to have a sufficient number of answers for each option. As already mentioned in the last posting, e.g. for expertise, there are only few people consider themselves as beginners and average users, so we put them together in a group we call &#8220;less expertise&#8221; and those, who consider themselves as experts make up the second group &#8220;more expertise&#8221;. We did the same for relevance and usage, where the problems were similar in order to the given answer options.</p>
<p>In this article the effect size &#8216;eta&#8217; will be important. Due to the large data set a lot of statistical tests reveal significance. Therefore, primary attention has to be drawn on the effect size  - an indicator for the relevance or strength of an effect. Commonly, an effect is treated as medium strong if eta is above 0.3 and as high if it exceeds 0.5. We will only discuss results with an effect size over 0.5 to make sure the effects we are talking about are relevant.</p>
<p><strong>Age</strong></p>
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" width="216" height="216" />The graph (click to enlarge) shows that the variable age is related to the motifs <em>prestige</em> and <em>security</em>. The older the participant is, the lower (s)he rates on these two scales. Thus, younger people (in our sample) have higher motifs of <em>prestige</em> and <em>security</em> than older people. Statistical analysis reveals a strong evidence of these findings with effect sizes of eta=0.87 for <em>security</em> and eta=0.55 for <em>prestige.</em> All numerical results are summarized in table 1. The other three motifs &#8211; <em>arousal</em>, <em>achievement</em> and <em>power</em> &#8211; prove not to dependent on the age of the participant.</p>
<p>Overall, people seem to relax more when they get older.</p>
<p><strong>Expertise</strong></p>
<p><img class="alignleft" alt="" 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" width="216" height="216" />In the graphic you can see a slight difference between expertise on the motifs <em>arousal </em>and <em>power</em>. People with lower expertise seem to have higher motifs for being aroused and having power.This result is contradictory to the expectation. On the one hand people who intend to have a lot of power could see themselves not as much as experts as they do need more experience (or power) to feel powerful over the computer.</p>
<p>Summing it up,  we believe the question does not work out. People find it difficult to estimate their own expertise and, more relevant, no one wants to be a beginner. Therefore questions of this kind should not be used in general and will more specifically be excluded from further inspection of our data.</p>
<p><strong>Relevance</strong></p>
<p><img class="alignright" alt="" src="data:image/png;base64,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" width="216" height="216" />Relevance describes whether people consider working on a computer more or less important. It turns out to take a strong effect on all motifs except for <em>security</em>. Detailed statistical analysis prove the strongest effects for <em>achievement</em> (eta=0.85) and <em>power</em> (eta=0.68). The direction of this effect is the same for all four motifs: People for whom working with computers is more important show lower ratings on the motifs.</p>
<p>Again, this is actually a very debatable finding. Do people need lower motives to allow or at least report computer to be important for their lives? Again, we believe this kind of question does not work out in a user survey and thus the data is excluded from further inspection.</p>
<p><strong>Usage</strong></p>
<p><img class="alignleft" alt="" src="data:image/png;base64,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" width="216" height="216" />The time spent on the computer shows a slight effect on <em>achievement</em>, <em>power</em> and <em>arousal</em>. People who spend less time using a computer report higher values on these motifs (comparable to expertise).</p>
<p>These effects are not strong (eta &lt; 0.3). Further investigations on the effect of usage on other constructs also proves this variable to be irrelevant. This shows that the time people spend in front of a computer does take a relevant influence. This result should be obvious: You can spend a lot of time playing, reading e-mails or just surfing the web, without gaining any expertise in how a computer works. This variable will therefore be excluded from further investigations.</p>
<h2>Statistical analysis</h2>
<p>Statistical analysis were computed as linear regression respectively ANOVA between motifs and independent variables. Based on resulting F-value the effect size &#8216;eta&#8217; was calculated to estimate the relevance of a finding. The <a title="Wikipedia on explained variance" href="http://en.wikipedia.org/wiki/Explained_variation" target="_blank">explained variance</a> is eta². For example the relation between s<em>ecurity</em> and age reveals 76% of the overall variance. All calculations (and graphics) were conducted using <a title="R" href="http://cran.r-project.org/" target="_blank">R</a>.</p>
<p><em>Table 1: Statistical analysis of motifs. Red color shows significant results. Eta denotes the effect size.</em></p>
<table border="0" frame="VOID" rules="NONE" cellspacing="0">
<colgroup>
<col width="163" />
<col width="75" />
<col width="87" />
<col width="87" />
<col width="87" /></colgroup>
<tbody>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="LEFT" bgcolor="#C0C0C0" width="163" height="17">Test</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT" bgcolor="#C0C0C0" width="75">F</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT" bgcolor="#C0C0C0" width="87">df</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT" bgcolor="#C0C0C0" width="87">eta</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT" bgcolor="#C0C0C0" width="87">p</td>
</tr>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="LEFT" height="17">Security~Age</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">112.82</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">3997</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">0.872</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">0</span></td>
</tr>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="LEFT" height="17">Achievement~Relevance</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">103.77</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">4295</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">0.846</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">0</span></td>
</tr>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="LEFT" height="17">Power~Relevance</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">60.25</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">4292</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">0.677</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">0</span></td>
</tr>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="LEFT" height="17">Power~Expertise</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">44.56</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">4296</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">0.562</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">0</span></td>
</tr>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="LEFT" height="17">Prestige~Age</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">41.27</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">3997</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">0.547</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">0</span></td>
</tr>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="LEFT" height="17">Arousal~Relevance</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">35.28</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">4299</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">0.474</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">0</span></td>
</tr>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="LEFT" height="17">Prestige~Relevance</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">27.04</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">4296</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">0.381</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">0</span></td>
</tr>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="LEFT" height="17">Arousal~Expertise</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">20.02</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">4302</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">0.292</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">0</span></td>
</tr>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="LEFT" height="17">Achievement~Usage</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">18.07</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">4304</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">0.266</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">0</span></td>
</tr>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="LEFT" height="17">Power~Usage</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">13.66</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">4302</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">0.204</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">0</span></td>
</tr>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="LEFT" height="17">Arousal~Usage</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">13.06</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">4308</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">0.195</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">0</span></td>
</tr>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="LEFT" height="17">Achievement~Age</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">7.5</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">3993</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">0.118</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">0.006</span></td>
</tr>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="LEFT" height="17">Arousal~Age</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">4.47</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">3998</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">0.071</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">0.034</td>
</tr>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="LEFT" height="17">Achievement~Expertise</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">4.15</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">4298</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">0.063</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">0.042</td>
</tr>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="LEFT" height="17">Prestige~Expertise</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">3.72</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">4299</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">0.057</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">0.054</td>
</tr>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="LEFT" height="17">Security~Expertise</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">3.61</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">4300</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">0.055</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">0.057</td>
</tr>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="LEFT" height="17">Security~Usage</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">1.41</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">4306</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">0.022</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">0.235</td>
</tr>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="LEFT" height="17">Prestige~Usage</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">1.05</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">4305</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">0.016</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">0.307</td>
</tr>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="LEFT" height="17">Power~Age</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">0.57</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">3994</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">0.009</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">0.452</td>
</tr>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="LEFT" height="17">Security~Relevance</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">0.48</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">4297</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">0.007</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">0.486</td>
</tr>
</tbody>
</table>
<p>Last but not least, it is worth to mention &#8211; as you can see in all of the graphs &#8211; that our sample in general rates above average on all motifs, but especially on <em>achievement</em>. This does not necessarily mean that all of our participants are extremely ambitious. We rather assume the question we chose to assess achievement has been formulated a little too strong. Because of the ceiling effect we decided to exclude this motif from further investigations. We will modify this question in future surveys, in order to move the results more towards the middle of the scale.</p>
<h2>Relations between motifs</h2>
<p>In the next step of our analysis, we conducted an <a href="http://en.wikipedia.org/wiki/Configural_frequency_analysis" target="_blank">analysis of configurational frequencies (CFA)</a>. The idea of a CFA is to compare the expected frequency of a certain combination of factors with the actually observed frequency. This way we are able to identify patterns in the data that occur significantly more often (they are called &#8216;types&#8217;) and such that occur less often (they are called &#8216;antitypes&#8217;).</p>
<p>In order to do so, we dichotomized the remaining four motifs by average (marked as + for above and − below average values in the following table) for the calculations. Although motif dimensions are assumed as  independent, the question we are trying to answer in the context of motifs is: Do people&#8217;s answers show any patterns? A pattern could be something like: high <em>arousal</em> often goes along with low <em>prestige.</em></p>
<p>The results, as shown in table 2, reveal combinations that characterize about 6% of the population each in average. The deviation from that average is about ±5%. The data thus proves to be suited for a CFA.</p>
<p>In theory the motifs are considered to be independent from each other. The results however show types of low-raters (−−−−) and high-raters (++++). To explain these findings, we assume some people did not answer the motif questions  honestly, but clicked constantly on the left- or right-hand side. As the motif questions feel very personal, this behavior is not too surprising. The following significant antitypes are a consequence of the two strong types.</p>
<p>Summing it up, we expect some unwanted variance in the motifs, which might superimpose other effects in follow-up examinations. But we are confident to have assessed the motifs in a sane way and to be able to continue to work with them.</p>
<p><em>Table 2: Analysis of configurational frequencies. Minus denotes values below, plus above median. Red color shows significant results.</em></p>
<table border="0" frame="VOID" rules="NONE" cellspacing="0">
<colgroup>
<col width="163" />
<col width="75" />
<col width="87" />
<col width="87" />
<col width="87" />
<col width="87" />
<col width="87" />
<col width="87" />
<col width="87" /></colgroup>
<tbody>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER" bgcolor="#C0C0C0" width="163" height="17">Arousal</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER" bgcolor="#C0C0C0" width="75">Prestige</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER" bgcolor="#C0C0C0" width="87">Security</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER" bgcolor="#C0C0C0" width="87">Power</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT" bgcolor="#C0C0C0" width="87">n</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT" bgcolor="#C0C0C0" width="87">expected</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT" bgcolor="#C0C0C0" width="87">n-exp</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT" bgcolor="#C0C0C0" width="87">chisq</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT" bgcolor="#C0C0C0" width="87">p.chisq</td>
</tr>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER" height="17">−</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">−</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">−</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">−</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">357</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">217.0252</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">139.97</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">90.28</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">0</span></td>
</tr>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER" height="17">+</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">+</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">+</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">+</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">435</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">301.2024</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">133.8</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">59.43</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">0</span></td>
</tr>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER" height="17">−</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">+</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">−</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">−</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">207</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">334.0134</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">-127.01</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">48.3</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">0</span></td>
</tr>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER" height="17">+</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">−</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">+</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">+</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">112</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">195.7063</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">-83.71</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">35.8</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">0</span></td>
</tr>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER" height="17">+</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">−</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">+</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">−</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">178</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">259.4567</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">-81.46</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">25.57</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">0</span></td>
</tr>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER" height="17">−</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">+</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">−</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">+</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">180</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">251.9439</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">-71.94</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">20.54</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">0</span></td>
</tr>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER" height="17">−</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">−</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">+</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">+</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">165</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">224.6019</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">-59.6</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">15.82</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">0</span></td>
</tr>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER" height="17">−</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">−</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">+</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">-</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">360</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">297.7649</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">62.24</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">13.01</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">0</span></td>
</tr>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER" height="17">+</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">+</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">−</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">+</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">271</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">219.5307</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">51.47</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">12.07</span></td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT"><span style="color: #ff0000;">0.001</span></td>
</tr>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER" height="17">+</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">−</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">−</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">−</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">227</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">189.1044</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">37.9</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">7.59</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">0.006</td>
</tr>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER" height="17">+</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">+</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">+</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">−</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">346</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">399.3177</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">-53.32</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">7.12</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">0.008</td>
</tr>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER" height="17">−</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">+</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">+</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">+</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">391</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">345.6742</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">45.33</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">5.94</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">0.015</td>
</tr>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER" height="17">−</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">−</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">−</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">+</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">138</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">163.7006</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">-25.7</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">4.03</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">0.045</td>
</tr>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER" height="17">−</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">+</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">+</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">−</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">495</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">458.276</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">36.72</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">2.94</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">0.086</td>
</tr>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER" height="17">+</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">+</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">−</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">−</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">276</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">291.0418</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">-15.04</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">0.78</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">0.378</td>
</tr>
<tr>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER" height="17">+</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">−</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">−</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="CENTER">+</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">153</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">142.6401</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">10.36</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">0.75</td>
<td style="border-width: 1px; border-style: dotted; border-color: #000000;" align="RIGHT">0.386</td>
</tr>
</tbody>
</table>
<p>In the next post we will reveal our findings about the usage of LibreOffice tools.</p>
<h2>References</h2>
<p>[1]: Cooper, A. (1999).<em> The Inmates Are Running the Asylum</em>. Sams: Indianapolis.</p>
<p>[2]: Bischof, N. (1975). A systems approach toward the functional connections of attachment and fear. <em>Child Development</em>, 46(4), 801-817.</p>
]]></content:encoded>
			<wfw:commentRss>http://user-prompt.com/libreoffice-user-research-results-vol-2-2/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>LibreOffice user research &#8211; Results vol.1</title>
		<link>http://user-prompt.com/libreoffice-user-research-results-vol-1/</link>
		<comments>http://user-prompt.com/libreoffice-user-research-results-vol-1/#comments</comments>
		<pubDate>Thu, 18 Aug 2011 14:13:01 +0000</pubDate>
		<dc:creator>Björn Balazs</dc:creator>
				<category><![CDATA[Analyse]]></category>
		<category><![CDATA[Expertise]]></category>
		<category><![CDATA[Free Software]]></category>
		<category><![CDATA[Involve]]></category>
		<category><![CDATA[LibreOffice]]></category>
		<category><![CDATA[Open Usability e.V.]]></category>
		<category><![CDATA[Portfolio]]></category>
		<category><![CDATA[Profile]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[Team]]></category>
		<category><![CDATA[Test]]></category>
		<category><![CDATA[UserWeave]]></category>

		<guid isPermaLink="false">http://www.opensource-usability-labs.com/?p=544</guid>
		<description><![CDATA[More than 5400 people took part in our LibreOffice User study. The results give insights about who the users of LibreOffice are and how motifs can help to describe them.]]></description>
				<content:encoded><![CDATA[<p><strong>More than 5400 people took part in our LibreOffice User study. The results give insights about who the users of LibreOffice are and how motifs can help to describe them.</strong></p>
<h2>Summary</h2>
<p>As promised, this article is about the first results from the latest LibreOffice (LO) survey. To start with, we will give you an impression about the variables we raised and how they are distributed in the sample. Following on, we will tell you more about the general effects <span>found</span> in the survey and how that can be used to improve LibreOffice.</p>
<p>There will be a couple of posts in this blog dealing with this survey, starting today with a description of the independent variables. Next we will present results of motifs and thereafter such of LO usage. It&#8217;s remarkable that a huge number of people (n=5419) answered our questions in about one week, with a fairly good responder quote (~75% completed the survey). Many of them are students with a high self-estimated expertise.</p>
<p>Obviously our users are more than willing to bring in their experience and their wishes into the development of LibreOffice. This is an experience I also gained in many other FLOSS projects. As I discussed with Michael Meeks on the Desktop Summit, we will give LibreOffice users this chance to participate in surveys more easily in future. Read on to get an insight into the results. If you want to analyse anything yourself, we are more than happy to give you access to the data.</p>
<h2>Aims</h2>
<p>The aims of the study were twofold:</p>
<ul>
<li>First, we started usability research for LibreOffice by investigating the target group. Decisions about the direction LO is going to take, need to be based upon knowledge about our users, how they use LO and where they need more support.</li>
<li>To get a more scientific groundwork into the user research work we introduced the so called &#8220;motifs&#8221; which are well established in psychology to describe people&#8217;s goals [1,2]. Research on motifs was the second purpose of this study.</li>
</ul>
<h2>Methodology</h2>
<p>There are <em>independent</em> variables and <em>dependent</em> variables in every survey:</p>
<ul>
<li>Independent variables are variables that are given and do not change when other parameters differ (e.g. your origin is fixed and does not change with your preference for keyboard combinations or mouse usage).</li>
<li>Dependent variables are expected to change in relation to these independent variables.</li>
</ul>
<p>For the present study we collected some demographic data as independent variable that could be used to divide users into groups. E.g. elder users might have a different approach to use software compared to younger. The demographic data we collected was origin, age, business, expertise in terms of computer use in hours per day, self estimated know-how, and valuation of personnel computer relevance.</p>
<p>As a further independent variable we also raised the participant&#8217;s basic motifs. They will be discussed in a follow-up article.</p>
<h2>Results: <strong><strong>Demographics</strong></strong></h2>
<p>Today we present the analysis of the independent demographic variables.</p>
<h3><strong>Origin</strong></h3>
<p><img class="alignright" alt="" 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