AAAI Publications, Twenty-Ninth AAAI Conference on Artificial Intelligence

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Towards User-Adaptive Information Visualization
Cristina Conati, Giuseppe Carenini, Dereck Toker, Sébastien Lallé

Last modified: 2015-03-04


This paper summarizes an ongoing multi-year project aiming to uncover knowledge and techniques for devising intelligent environments for user-adaptive visualizations. We ran three studies designed to investigate the impact of user and task characteristics on user performance and satisfaction in different visualization contexts. Eye-tracking data collected in each study was analyzed to uncover possible interactions between user/task characteristics and gaze behavior during visualization processing. Finally, we investigated user models that can assess user characteristics relevant for adaptation from eye tracking data.


Information Visualization; User modeling; Adaptive interface; Eye tracking

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