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CHI
1997
ACM

Computational Models of Information Scent-Following in a Very Large Browsable Text Collection

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Computational Models of Information Scent-Following in a Very Large Browsable Text Collection
An ecological-cognitive framework of analysis and a model-tracing architecture are presented and used in the analysis of data recorded from users browsing a large document collection. The users interacted with the Scatter/Gather browser, which clusters documents into groups of similar content and presents users with summaries of cluster content. Predictions made by a computational model of navigation and information foraging are matched against the observed activity. Keywords Information foraging, information scent, cognitive modeling, model-tracing, ACT-R, Scatter/Gather
Peter Pirolli
Added 06 Aug 2010
Updated 06 Aug 2010
Type Conference
Year 1997
Where CHI
Authors Peter Pirolli
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