Envisioning User Models for Adaptive Visualization

摘要

Adaptive search systems apply user models to provide betterseparation of relevant and non-relevant documents in a list ofresults. This paper presents our attempt to leverage this ability ofuser models in the context of visual information exploration. Wedeveloped an adaptive visualization approach for presentation andexploration of search results. We simulated a visual intelligencesearch/analysis scenario with log data extracted from an adaptiveinformation foraging study and were able to verify that ourmethod could improve the ability of traditional relevancevisualization to separate relevant and irrelevant information.