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Dereck Toker

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2 papers

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IJCAI Conference 2017 Conference Paper

Further Results on Predicting Cognitive Abilities for Adaptive Visualizations

Cristina Conati
Sébastien Lallé
Md. Abed Rahman
Dereck Toker

Previous work has shown that some user cognitive abilities relevant for processing information visualizations can be predicted from eye tracking data. Performing this type of user modeling is important for devising user-adaptive visualizations that can adapt to a user’s abilities as needed during the interaction. In this paper, we contribute to previous work by extending the type of visualizations considered and the set of cognitive abilities that can be predicted from gaze data, thus providing evidence on the generality of these findings. We also evaluate how quality of gaze data impacts prediction.

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AAAI Conference 2015 Conference Paper

Towards User-Adaptive Information Visualization

Cristina Conati
Giuseppe Carenini
Dereck Toker
Sébastien Lallé

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.

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