An Affective-Motivational Interface for a Pedagogical Agent

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

作者机构：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 

出 版 物：《International Journal of Intelligence Science》 (智能科学国际期刊（英文）)

年 卷 期：2014年第4卷第1期

页      面：17-23页

学科分类：081203[工学-计算机应用技术] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Affective-Motivational Model Intelligent Learning System Pedagogical Agent Affective Computing Simulation of Emotions 

摘      要：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.