Adaptive Estimation of Emotion Generation for an Ambient Agent Model

Authors:
Tibor Bosse;Zulfiqar A. Memon;Jan Treur
Affiliations:
Department of Artificial Intelligence, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands 1081 HV;Department of Artificial Intelligence, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands 1081 HV;Department of Artificial Intelligence, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands 1081 HV
Venue:
AmI '08 Proceedings of the European Conference on Ambient Intelligence
Year:
2008

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Abstract

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.