Exploring Eye Tracking to Increase Bandwidth in User Modeling

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.

• Type: Conference
• Year: 2005
• Where: UM
• Authors: Cristina Conati, Christina Merten, Kasia Muldner, David Ternes
• Keywords: Eye-tracker Provides Data, UM 2005, User Model, User’s States