Adaptive estimation of emotion generation for an ambient agent model
Berlin ; Heidelberg : Springer
InAarts, E.; Crowley, J.L.; Ruyter, B. de (ed.), AmI 2008: Ambient Intelligence, pp. 141-156
European Conference on Ambient Intelligence, AmI 2008, Nuremberg, Germany, November 19-22, 2008
Article in monograph or in proceedings
Display more detailsDisplay less details
Ruyter, B. de
SW OZ BSI CW
Aarts, E.; Crowley, J.L.; Ruyter, B. de (ed.), AmI 2008: Ambient Intelligence
SubjectCommunication and Media
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.
Upload full text
Use your RU credentials (u/z-number and password) to log in with SURFconext to upload a file for processing by the repository team.