An Affective Behavior Model for Intelligent Tutors
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
Intelligent Tutoring System with Affective Behavior
MICAI '07 Proceedings of the 2007 Sixth Mexican International Conference on Artificial Intelligence, Special Session
Data-Driven refinement of a probabilistic model of user affect
UM'05 Proceedings of the 10th international conference on User Modeling
Using learner focus of attention to detect learner motivation factors
UM'05 Proceedings of the 10th international conference on User Modeling
A semi-open learning environment for virtual laboratories
MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
Designing and implementing affective and intelligent tutoring systems in a learning social network
MICAI'12 Proceedings of the 11th Mexican international conference on Advances in Computational Intelligence - Volume Part II
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We are developing an affective behavior model for intelligent tutoring systems. This model provides students with a suitable response considering the knowledge and affective state of the student. The affective behavior model comprises two components: an affective student model and an affective tutor model. The affective student model is based on the OCC cognitive model of emotions. The main contribution of this work is the affective tutor model, which is built with base on the expertise of a group of teachers. For this end, we conducted a study to ask teachers how they deal with affective aspects when they are teaching; and we used the results of the study to refine our model. The affective behavior model relies on dynamic Bayesian networks and dynamic decision networks. In this paper, we present the affective behavior model built based on the teachers' responses, its application to a robotics tutor and an evaluation with a Wizard of Oz study.