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. © 2008 Springer Berlin Heidelberg.
Cite
CITATION STYLE
Bosse, T., Memon, Z. A., & Treur, J. (2008). Adaptive estimation of emotion generation for an ambient agent model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5355 LNCS, pp. 141–156). Springer Verlag. https://doi.org/10.1007/978-3-540-89617-3_10
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