Computational models of information scent-following in a very large browsable text collection
Peter L. T. Pirolli · 1997
An ecological-cognitive fimnework of analysis and a model-tracing amhitecture are presented and used in the analysis cf data recorded flom users browsing a large document collection. The usem 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 d navigation and information foraging are matched against the observed activity.