Multitasking in Emotion Modelling: Attention Control

Sidoumou, Mohamed R, Bechkoum, Kamal ORCID: 0000-0001-5857-2763, Turner, Scott and Picton, Phil (2015) Multitasking in Emotion Modelling: Attention Control. In: 2015 International Conference on Affective Computing and Intelligent Interaction (ACII). IEEE Computer Society, pp. 308-314. ISBN 9781479999538

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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 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. However, in this paper we focus on the control of the attention as a part of the emotional process.

Item Type:	Book Section
Article Type:	Article
Uncontrolled Keywords:	behavioural sciences computing; emotion recognition; virtual reality; Scherer theory; action prediction; attention control; emotion expression; emotion feeling; emotion modelling; emotional experience; emotional response; general model; human behaviour simulation; human emotion simulation; multiple resource model; multitasking process; realistic simulation; user perceptions; virtual characters; Appraisal; Biological system modeling; Cognition; Computational modeling; Encoding; Organisms; Visualization; Affective Computing; Emotion; Multitasking; Simulation; Workload
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Divisions:	Schools and Research Institutes > School of Business, Computing and Social Sciences
Research Priority Areas:	Applied Business & Technology
Depositing User:	Susan Turner
Date Deposited:	08 Dec 2015 15:08
Last Modified:	31 Aug 2023 08:01
URI:	https://eprints.glos.ac.uk/id/eprint/2892

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