Sidoumou, M. R., Turner, S. J., Picton, P., Bechkoum, K. and Benatchba, K. (2015) Multitasking in Emotion Modelling Attention Control. In: Proceedings of 6th International Conference on Affective Computing and Intelligent Interaction (ACII) :. Xi'an, china: IEEE.
| Item Type: | Book Section |
|---|---|
| Abstract: | The work described in this paper is about building a general model capable of simulating human behaviour and emotions using virtual characters. To make the simulation realistic enough, virtual characters need to express emotions according to the environment and deal with those emotions in a parallel way where an emotional experience can be triggered at the same time as another emotional response. The virtual character will have perceptions, feel and express emotions and respond to different situations. To make the simulation realistic, we used a method allowing the virtual characters to execute tasks, perceive events and display emotions in a parallel way. To do that, we used the multiple resources model [1] to control the attention and to predict when two or more actions can be executed at the same time. The used emotional model is based on Scherer’s theory [2]. However, in this paper we focus on the control of the attention as a part of the emotional process. |
| Creators: | Sidoumou, Mohamed Redha, Turner, Scott J, Picton, Philip, Bechkoum, Kamal and Benatchba, Karima |
| Publisher: | IEEE |
| Faculties, Divisions and Institutes: |
University Faculties, Divisions and Research Centres - OLD > Research Group > Science and Technology Research in Pedagogy Research Centres > Science and Technology Research in Pedagogy Faculties > Faculty of Arts, Science & Technology > Computing |
| Date: | 22 September 2015 |
| Date Type: | Publication |
| Title of Book: | Proceedings of 6th International Conference on Affective Computing and Intelligent Interaction (ACII) : |
| Place of Publication: | Xi'an, china |
| Language: | English |
| Status: | Published / Disseminated |
| Refereed: | Yes |
| URI: | http://nectar.northampton.ac.uk/id/eprint/11524 |
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