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AMI
2008
Springer

Adaptive Estimation of Emotion Generation for an Ambient Agent Model

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Adaptive Estimation of Emotion Generation for an Ambient Agent Model
To improve the performance and wellbeing of humans in complex human-computer interaction settings, an interesting challenge for an ambient (or pervasive) agent system is to recognise the emotions of humans. To this end, this paper introduces a computational model to estimate the process of emotion generation based on certain triggers. The model has been implemented and tested using the modelling language LEADSTO. A first evaluation indicates that the model is successful in estimating a person's emotions, and is robust to different parameter settings.
Tibor Bosse, Zulfiqar A. Memon, Jan Treur
Added 12 Oct 2010
Updated 12 Oct 2010
Type Conference
Year 2008
Where AMI
Authors Tibor Bosse, Zulfiqar A. Memon, Jan Treur
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