An Affective-Motivational Interface for a Pedagogical Agent

Martha Mora-Torres, Ana Lilia Laureano-Cruces, Fernando Gamboa-Rodríguez, Javier Ramírez-Rodríguez, Lourdes Sánchez-Guerrero

CCADET, Universidad Nacional Autónoma de México, México City, México.
Departamento de Sistemas, Universidad Autónoma Metropolitana-Azcapotzalco, México City, México.
Laboratoire Informatique d’Avignon, Université d’Avignon et des Pays de Vaucluse, Avignon, France.
Posgrado en Ciencia e Ingeniería de la Computación, Universidad Nacional Autónoma de México, México City, México.

DOI: 10.4236/ijis.2014.41003                

Abstract

This research is framed within the affective computing, which explains the importance of emotions in human cognition (decision making, perception, interaction and human intelligence). Applying this approach to a pedagogical agent is an essential part to enhance the effectiveness of the teaching-learning process of an intelligent learning system. This work focuses on the design of the inference engine that will give life to the interface, where the latter is represented by a pedagogical agent. The inference engine is based on an affective-motivational model. This model is implemented by using artificial intelligence technique called fuzzy cognitive maps.

Keywords

Affective-Motivational Model; Intelligent Learning System; Pedagogical Agent; Affective Computing; Simulation of Emotions

Conflicts of Interest

The authors declare no conflicts of interest.

References

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