Implementation of motivational tactics in tutoring systems
Journal of Artificial Intelligence in Education
Inferring user goals from personality and behavior in a causal model of user affect
Proceedings of the 8th international conference on Intelligent user interfaces
Persuasive Technology: Using Computers to Change What We Think and Do
Persuasive Technology: Using Computers to Change What We Think and Do
Modeling self-efficacy in intelligent tutoring systems: An inductive approach
User Modeling and User-Adapted Interaction
Motivationally Intelligent Systems: Diagnosis and Feedback
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Towards empirical evaluation of affective tactical NLG
ENLG '09 Proceedings of the 12th European Workshop on Natural Language Generation
Cohesion Relationships in Tutorial Dialogue as Predictors of Affective States
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
Affective Artificial Intelligence in Education: From Detection to Adaptation
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
Does self-efficacy matter when generating feedback?
AIED'11 Proceedings of the 15th international conference on Artificial intelligence in education
Ranking feature sets for emotion models used in classroom based intelligent tutoring systems
UMAP'10 Proceedings of the 18th international conference on User Modeling, Adaptation, and Personalization
Does self-efficacy matter when generating feedback?
AIED'11 Proceedings of the 15th international conference on Artificial intelligence in education
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My PhD investigates how a conversational agent can adapt feedback to the personality and affective state of learners in order to increase learner motivation. This paper provides an overview of the research area, research questions and work to date.