Author(s)

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.

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.

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

M. Mora-Torres, A. Laureano-Cruces, F. Gamboa-Rodríguez, J. Ramírez-Rodríguez and L. Sánchez-Guerrero, "An Affective-Motivational Interface for a Pedagogical Agent," International Journal of Intelligence Science, Vol. 4 No. 1, 2014, pp. 17-23. doi: 10.4236/ijis.2014.41003.