The Affective Tutoring System

Authors:
Mohamed Ben Ammar;Mahmoud Neji;Adel. M. Alimi;Guy Gouardères
Affiliations:
REsearch Group on Intelligent Machines (REGIM), University of Sfax, ENIS, P.O. Box W-3038, Sfax, Tunisia;Faculté des Sciences Economiques et de Gestion, University of Sfax, Tunisia;REsearch Group on Intelligent Machines (REGIM), University of Sfax, ENIS, P.O. Box W-3038, Sfax, Tunisia;LIUPPA, IUT de Bayonne, Université de Pau et des Pays de l'Adour, 64115 Bayonne, France
Venue:
Expert Systems with Applications: An International Journal
Year:
2010

Citing 7
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Abstract

Affective Computing is a new Artificial Intelligence area that deals with the possibility of making computers able to recognize human emotions in different ways. This paper represents a study about the integration of this new area in the intelligent tutoring system. We argue that socially appropriate affective behaviors would provide a new dimension for collaborative learning systems. The main goal is to analyses learner facial expressions and show how Affective Computing could contribute for this interaction, being part of the complete student tracking (traceability) to monitor student behaviors during learning sessions.