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http://dx.doi.org/10.11627/jkise.2014.37.4.01

Fuzzy Emotion Model for Affective Computing Agents  

Yoon, Hyun Joong (School of Mechanical and Automotive Engineering, Catholic University of Daegu)
Chung, Seong Youb (Department of Mechanical Engineering, Korea National University of Transportation)
Publication Information
Journal of Korean Society of Industrial and Systems Engineering / v.37, no.4, 2014 , pp. 1-11 More about this Journal
Abstract
This paper addresses the emotion computing model for software affective agents. In this paper, emotion is represented in valence-arousal-dominance dimensions instead of discrete categorical representation approach. Firstly, a novel emotion model architecture for affective agents is proposed based on Scherer's componential theories of human emotion, which is one of the well-known emotion models in psychological area. Then a fuzzy logic is applied to determine emotional statuses in the emotion model architecture, i.e., the first valence and arousal, the second valence and arousal, and dominance. The proposed methods are implemented and tested by applying them in a virtual training system for children's neurobehavioral disorders.
Keywords
Affective Agent; Emotional Agent; Emotion Model; Fuzzy Logic; Dimensional Emotion Model;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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