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 <title>ia/ - Information seeking behavior</title>
 <link>http://iaslash.org/taxonomy/term/116/0</link>
 <description></description>
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 <title>Dublin Core 2003: Seattle, WA</title>
 <link>http://iaslash.org/node/7469</link>
 <description>&lt;p&gt;The &lt;a href="http://dc2003.ischool.washington.edu/"&gt;Dublin Core 2003 Conference&lt;/a&gt; is currently going on in Seattle this week.  A couple of the attendees and I will be sharing our notes(and photos) when we've recovered(it's actually still going on).  But until then, enjoy the &lt;a href="http://www.siderean.com/dc2003/search.jsp"&gt;conference proceedings online&lt;/a&gt;.&lt;/p&gt;
</description>
 <pubDate>Fri, 08 Jun 2007 03:53:25 -0700</pubDate>
</item>
<item>
 <title>Product Research, Hypertext Cycles, and Decision Making</title>
 <link>http://iaslash.org/node/7403</link>
 <description>&lt;p&gt;&lt;a href="http://www.peterme.com/archives/000103.html"&gt;Peter Merholz muses on users seeking products&lt;/a&gt; and comes up with some intersting thoughts about hypertext patterns. Rather than getting the "lay of the land" first, users move to an actual product and then start to compare.
&lt;p&gt;He ends with a foray into decision making, and looking for useful resources. While I have more thoughts on the matter, I think it boils down to Return on Experience - everyone has an intrinsic level of effort they'll invest to achieve some expected value.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;MITECS &lt;a href="http://cognet.mit.edu/MITECS/Articles/shafir3.html"&gt;Decision Making&lt;/a&gt; entry is a starting point.
&lt;li&gt;&lt;a href="http://www.sjsu.edu/faculty/watkins/prospect.htm"&gt;Kahneman and Tversky's Prospect Theory&lt;/a&gt; and &lt;a href="http://www.nku.edu/~garns/165/pptj_h.html"&gt;heuristics&lt;/a&gt; come to mind.
&lt;li&gt;and this PowerPoint deck provides &lt;a href="http://ist-socrates.berkeley.edu/~branstrm/jdm_lecture/"&gt;a nice summary of different theories&lt;/a&gt;, though it assumes a bit of familiarity with the subject.
&lt;/ul&gt;
</description>
 <pubDate>Mon, 07 Jul 2003 12:43:22 -0700</pubDate>
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<item>
 <title>CIO Article on Auto/Semi-categorization software</title>
 <link>http://iaslash.org/node/7364</link>
 <description>&lt;p&gt;CIO article &lt;a href="http://www.cio.com/archive/050103/et_article.html"&gt;"Sleuthing out data"&lt;/a&gt; by Fred Hapgood features a couple examples of how auto-semiauto categorization enables businesses and reduce costs.  There is a company list included if you're interested in this arena.&lt;/p&gt;
</description>
 <pubDate>Wed, 14 May 2003 13:39:12 -0700</pubDate>
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<item>
 <title>IT &amp;amp; Society special issue on Web Navigation</title>
 <link>http://iaslash.org/node/7347</link>
 <description>&lt;p&gt;On SIGIA, Dick Hill points out this journal. Edited by Ben Schneiderman, the Winter Issue of IT &amp;amp; Society was dedicated to &lt;a href="http://www.stanford.edu/group/siqss/itandsociety/v01i03/abstract.html"&gt;Web Navigation&lt;/a&gt; and contains articles ranging from user frustration, to PDAs, to browser design.&lt;/p&gt;
</description>
 <pubDate>Wed, 23 Apr 2003 15:21:09 -0700</pubDate>
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<item>
 <title>Visualizing your traffic flow</title>
 <link>http://iaslash.org/node/7248</link>
 <description>&lt;p&gt;My sysadmin and I have been playing with graphviz today. I was playing with it on Mac OS X and he used Randal Schwartz's perl script in &lt;a href="http://www.stonehenge.com/merlyn/WebTechniques/col58.html"&gt;Web Techniques Column 58 (Feb 2001)&lt;/a&gt;. He was able to quickly produce a diagram that shows user flow based on Apache referrer logs. The script feeds your log files to graphiviz's dot program and outputs a gif file.&lt;/p&gt;
&lt;p&gt;We were both surprised that we didn't find more people writing about using graphviz to analyze of patterns of information-use. Graphviz seems so easy. I know James has been doing a lot of work on generating diagrams from referrer logs using OmniGraffle and Applescript.&lt;/p&gt;
</description>
 <pubDate>Mon, 17 Feb 2003 13:54:13 -0800</pubDate>
</item>
<item>
 <title>Cognitive Models for Web Design</title>
 <link>http://iaslash.org/node/7129</link>
 <description>&lt;p&gt;Tanya Rabourn &lt;a href="http://www.pixelcharmer.com/essays/information-foraging.html"&gt;discusses information foraging&lt;/a&gt;, a theory that attempts to explain human information seeking behavior based on the food foraging theory from biology and anthropology.&lt;/p&gt;
</description>
 <pubDate>Wed, 04 Dec 2002 11:29:24 -0800</pubDate>
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