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감성 에이전트를 위한 퍼지 정서 모델

Fuzzy Emotion Model for Affective Computing Agents

  • 윤현중 (대구가톨릭대학교 기계자동차공학부) ;
  • 정성엽 (한국교통대학교 기계공학과)
  • 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)
  • 투고 : 2014.02.28
  • 심사 : 2014.10.14
  • 발행 : 2014.12.31

초록

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.

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참고문헌

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