Modeling Students' Emotions from Cognitive Appraisal in Educational Games
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
StressCam: non-contact measurement of users' emotional states through thermal imaging
CHI '05 Extended Abstracts on Human Factors in Computing Systems
User Modeling in Spoken Dialogue Systems to Generate Flexible Guidance
User Modeling and User-Adapted Interaction
Multimodal affect recognition in learning environments
Proceedings of the 13th annual ACM international conference on Multimedia
Automatic prediction of frustration
International Journal of Human-Computer Studies
Biometric valence and arousal recognition
OZCHI '07 Proceedings of the 19th Australasian conference on Computer-Human Interaction: Entertaining User Interfaces
CASEMANS '11 Proceedings of the 5th ACM International Workshop on Context-Awareness for Self-Managing Systems
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This paper presents a novel Interaction Reproducing Model (IRM) for the purpose of adjusting computer user support to match the state of the user, and it consists of a set of Interaction Finite State Machines (I-FSMs). Each I-FSM is trained using actual interaction records, and it represents an ideal interaction pattern for a user state. It can choose an appropriate system action by reproducing the interaction pattern of the I-FSM most similar to the current interaction. We developed a prototype teaching system, and conducted preliminary experiments. The results show that user impressions using our approach were better than when using the system without our approach.