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Estimation of Social Intelligence Levels Model using Autonomic and Central Nervous System Mutual Synchronization

중추신경계 및 자율신경계 상호 동기화 현상을 이용한 사회지능 수준 추론 모델 개발

  • Park, Seongeon (Sangmyung University, Department of Emotion Engineering) ;
  • Lee, Jung-Nyun (Sangmyung University, Department of Emotion Engineering) ;
  • Park, Min-Ji (Sangmyung University, Department of Emotion Engineering) ;
  • Whang, Mincheol (Sangmyung University, Department of Intelligent Engineering Informatics for Human)
  • 박성언 (상명대학교 감성공학과) ;
  • 이정년 (상명대학교 감성공학과) ;
  • 박민지 (상명대학교 감성공학과) ;
  • 황민철 (상명대학교 휴먼지능정보공학과)
  • Received : 2018.05.08
  • Accepted : 2018.06.15
  • Published : 2018.06.30

Abstract

Objective: This study was to determine the levels of social intelligence based on physiological responses in emotional contagion. Background: The social intelligence is an important factor in the understanding of others such as the emotional state, intention, and ideas in the interpersonal relationship. The methods for evaluating social intelligence in previous researches have been shown the limitations of the objectivity and quantification because of the subjective assessment. Method: The participants watched avatars that expressing target emotion through facial expression and gesture. At the same time autonomic nervous system response and central nervous system response were measured. Results: The EEG level was significantly discriminated in positive, negative, empathy, non-empathy, intimacy and non-intimacy emotional contagion situations, and the ECG signals showed significant difference in negative emotion and non-empathy emotional contagion situations. In the case of GSR, there was a difference according to the level of social intelligence only in the non-intimacy emotional contagion state. Conclusion: It was confirmed that the physiological responses of the three groups with different levels of social intelligence are significantly different according to the emotional expression of the avatar. As a result, an objective and immediate social intelligence reasoning model was developed. Application: This study suggests the possibility of quantitative discrimination in social intelligence evaluation and suggests the importance of development of social intelligence evaluation tool.

Keywords

References

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