TITLE:
An Affective-Motivational Interface for a Pedagogical Agent
AUTHORS:
Martha Mora-Torres, Ana Lilia Laureano-Cruces, Fernando Gamboa-Rodríguez, Javier Ramírez-Rodríguez, Lourdes Sánchez-Guerrero
KEYWORDS:
Affective-Motivational Model; Intelligent Learning System; Pedagogical Agent; Affective Computing; Simulation of Emotions
JOURNAL NAME:
International Journal of Intelligence Science,
Vol.4 No.1,
December
17,
2013
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.