Agent-Based Framework for Affective Intelligent Tutoring Systems

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. The main goal is to analyses learner facial expressions and show how Affective Computing could contribute for this interaction, being part of the development of computer systems where information about learner' emotion would be helpful.