The role of emotion in believable agents
Communications of the ACM
A cognitive approach to affective user modeling
Affective interactions
The invisible future
Modeling coping behavior in virtual humans: don't worry, be happy
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Analysis of emotion recognition using facial expressions, speech and multimodal information
Proceedings of the 6th international conference on Multimodal interfaces
Neural Networks - Special issue: Emotion and brain
A Cognitive Model for Visual Attention and Its Application
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
EBDI: an architecture for emotional agents
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Proceedings of the 7th international conference on Intelligent Virtual Agents
IVA '07 Proceedings of the 7th international conference on Intelligent Virtual Agents
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
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To improve the performance and wellbeing of humans in complex human-computer interaction settings, ambient (or pervasive) systems need the capability to recognize the emotions of humans, but also the ability to reason about their emotion regulation processes. To this end, this paper introduces a computational model to estimate and reason about emotion regulation. The model has been implemented and tested using the high-level modeling language LEADSTO. A first evaluation indicates that the model is successful in estimating a person's emotion regulation dynamics, and is robust to different parameter settings.