Affective computing
Informing the Detection of the Students' Motivational State: An Empirical Study
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
Computers & Education - Virtual learning? Selected contributions from the CAL 05 symposium
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This paper presents a model of motivation for AI-driven avatars in virtual worlds. This work aims at providing the avatar with motivational capabilities to detect and react to different motivational states aiming to enhance and maintain user's motivation. The algorithm and its associated rules are presented. Future work consists of assessing this model in virtual world applications in the context of a quiz.