Eye-tracking to model and adapt to user meta-cognition in intelligent learning environments

Authors:
Christina Merten;Cristina Conati
Affiliations:
University of British Columbia, Vancouver, BC, Canada;University of British Columbia, Vancouver, BC, Canada
Venue:
Proceedings of the 11th international conference on Intelligent user interfaces
Year:
2006

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Abstract

In this paper we describe research on using eye-tracking data for on-line assessment of user meta-cognitive behavior during the interaction with an intelligent learning environment. We describe the probabilistic user model that processes this information, and its formal evaluation. We show that adding eye-tracker information significantly improves the model accuracy on assessing user exploration and self-explanation behaviors.