Affective interactions
A cognitive approach to affective user modeling
Affective interactions
Toward Machine Emotional Intelligence: Analysis of Affective Physiological State
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
A BDI approach to infer student's emotions in an intelligent learning environment
Computers & Education
Gender-Specific Approaches to Developing Emotionally Intelligent Learning Companions
IEEE Intelligent Systems
Evaluating the affective tactics of an emotional pedagogical agent
Proceedings of the 2009 ACM symposium on Applied Computing
Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications
IEEE Transactions on Affective Computing
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Predicting students' emotion raises several questions about the data on which these predictions should be grounded. This article describes an empirical evaluation of a cognitive-based affective user model accomplished with 7th grade students. The affective model is based on the OCC psychological theory of emotions in order to infer the students' emotions from their actions and choices in the interface of the learning system. The model relies on a BDI model to implement the process of inference of students' emotions in a webbased learning environment. Two experiments were conducted based on a direct and an indirect approach. The results of the evaluation are discussed and some ideas of improvement for the experiments protocol are presented.