Exploring eye tracking to increase bandwidth in user modeling

Authors:
Cristina Conati;Christina Merten;Kasia Muldner;David Ternes
Affiliations:
Department of Computer Science, University of British Columbia, Vancouver, BC, Canada;Department of Computer Science, University of British Columbia, Vancouver, BC, Canada;Department of Computer Science, University of British Columbia, Vancouver, BC, Canada;Department of Computer Science, University of British Columbia, Vancouver, BC, Canada
Venue:
UM'05 Proceedings of the 10th international conference on User Modeling
Year:
2005

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Abstract

The accuracy of a user model usually depends on the amount and quality of information available on the user's states of interest. An eye-tracker provides data detailing where a user is looking during interaction with the system. In this paper we present a study to explore how this information can improve the performance of a model designed to assess the user's tendency to engage in a meta-cognitive behavior known as self-explanation.