Facial signs of affect during tutoring sessions

Authors:
Dirk Heylen;Mattijs Ghijsen;Anton Nijholt;Rieks op den Akker
Affiliations:
University of Twente;University of Amsterdam, The Netherlands;University of Twente;University of Twente
Venue:
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
Year:
2005

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Abstract

An emotionally intelligent tutoring system should be able to taking into account relevant aspects of the mental state of the student when providing feedback. The student’s facial expressions, put in context, could provide cues with respect to this state. We discuss the analysis of the facial expression displayed by students interacting with an Intelligent Tutoring System and our attempts to relate expression, situation and mental state building on Scherer’s component process model of emotion appraisal.