ECAI 2004 Conference Paper

Applying Affective Tactics for a Better Learning

Patricia Augustin Jaques, Rosa Maria Vicari, Sylvie Pesty, Jean-François Bonneville

This paper describes the Mediating Agent, an animated pedagogical agent inserted in a computational system for distance learning, which has the goal of motivating the student to learn as well as promoting a positive mood in the student, which is more appropriate to learning. In order to accomplish its function, the agent should recognize the student's emotions to respond appropriately. Thus, it catches some information from observing the student's behaviour in the interface of system, which allows it to infer the student's affective state according to the cognitive approach of emotion. This information is stored in an affective model and it is used so that the agent may choose an affective pedagogical tactic to be applied.

Keywords: Affective Computing, Emotions and Learning, Animated pedagogical agents, Affectivity in Human Computer Interation

Citation: Patricia Augustin Jaques, Rosa Maria Vicari, Sylvie Pesty, Jean-François Bonneville: Applying Affective Tactics for a Better Learning. In R.López de Mántaras and L.Saitta (eds.): ECAI2004, Proceedings of the 16th European Conference on Artificial Intelligence, IOS Press, Amsterdam, 2004, pp.114-118.

ECAI-2004 is organised by the European Coordinating Committee for Artificial Intelligence (ECCAI) and hosted by the Universitat Politècnica de València on behalf of Asociación Española de Inteligencia Artificial (AEPIA) and Associació Catalana d'Intel-ligència Artificial (ACIA).