Exploring Eye Tracking to Increase Bandwidth in User Modeling | Zendy

Cristina Conati | Zendy; Christina Merten | Zendy; Kasia Müldner | Zendy; David Ternes | Zendy

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Exploring Eye Tracking to Increase Bandwidth in User Modeling

Author(s) -

Cristina Conati,

Christina Merten,

Kasia Müldner,

David Ternes

Publication year - 2005

Publication title -

lecture notes in computer science

Language(s) - English

Resource type - Book series

SCImago Journal Rank - 0.249

H-Index - 400

eISSN - 1611-3349

pISSN - 0302-9743

ISBN - 3-540-27885-0

DOI - 10.1007/11527886_47

Subject(s) - computer science , human–computer interaction , eye tracking , user modeling , bandwidth (computing) , user interface , user interface design , user experience design , artificial intelligence , telecommunications , operating system

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.

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