감정 연구용 얼굴 표정 영상 개발 및 예비 표준화

• 영문명: Development and Its Preliminary Standardization of Pictures of Facial Expressions for Affective Neurosciences
• 발행기관: 대한신경정신의학회
• 저자명: 이원희 채정호 박원명 이경욱
• 간행물 정보: 『신경정신의학』제43권 제5호, 552~558쪽, 전체 7쪽
• 주제분류: 의약학 > 정신과학
• 파일형태: PDF
• 발행일자: 2004.09.30

영문 초록

Objectives：In recent years there has been a discernible increase of interest in facial expressions as a tool for affective neurosciences research which investigates the neural circuit for emotional perception and control. Though substantial researches have documented the universality of several emotional expressions, researches have shown evidences for cross-cultural differences of facial emotion recognition. Therefore the need for facial expressions of Koreans is gathering strength. Thus we developed the images of facial expressions of Korean people as a research tool for affective neurosciences and standardized them. Methods：Three professional actors and three actresses were participated in this study (two in their twenties, two in their forties, two in their sixties). They were asked to pose each of the following facial expressions in turn：happiness, sadness, fear, anger, disgust and surprise. And facial emotion identification test was done for one hundred common person to get percent of judgment of each emotion and intensity ratings for each photographs. Results：Six facial expressions in each subject were obtained. Among six emotions, subjects performed better on the recognition of happiness and worse on the recognition of fear and disgust. Also, each emotion term was presented with a 9-point (0-8) scale on which subjects rated. All emotion terms displayed 4.7-7.0 point scale. Conclusion：We could obtain facial expressions of Koreans for happiness, sadness, fear, anger, disgust, surprise and neutral, and then standardized them. As a tool for affective neurosciences, it can be used for the investigation of neural circuit for emotion recognition and control.

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키워드

Facial expression of emotion Korean Standardization Affective neurosciences