An Affective-Motivational Interface for a Pedagogical Agent

• 作者: Ana Lilia Laureano-Cruces Fernando Gamboa-Rodríguez Javier Ramírez-Rodríguez Lourdes Sánchez-Guerrero Martha Mora-Torres
• 来源期刊: 智能科学国际期刊(英文)
• 学科: 工学
• 关键词: Affective-Motivational Model INTELLIGENT LEARNING System PEDAGOGICAL AGENT AFFECTIVE COMPUTING Simulation of Emotions
• 年，卷（期）: 2014,（1）
• 页码范围: 17-23
• 页数: 7页
• 分类号: TP39

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.