The media equation: how people treat computers, television, and new media like real people and places
Affective computing
Causality: models, reasoning, and inference
Causality: models, reasoning, and inference
Modeling Students' Emotions from Cognitive Appraisal in Educational Games
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
Informing the Detection of the Students' Motivational State: An Empirical Study
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
Modeling emotions and other motivations in synthetic agents
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Learning Objects Repository for Training of Power Systems Operators
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
Evaluating an affective student model for intelligent learning environments
IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
Intelligent E-learning system for training power systems operators
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part II
Intelligent environment for training of power systems operators
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
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We propose a general affective behavior model integrated to an intelligent tutoring system with the aim of providing the students with a suitable response from a pedagogical and affective point of view. The affective behavior model integrates the information from the student cognitive state, student affective state, and the tutorial situation, to decide the best pedagogical action. The affective model is implemented as a decision network with a utility measure on learning. For the construction of the affective behavior model, we are using personality questionnaires and emotions models. An initial evaluation of the model is presented, based on questionnaires applied to experienced teachers. We present the initial results of this evaluation.