Classification of Laugh and Examination on Quantitative Changes of Facial Expression
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- MASHIKO Yukihiro
- Tohoku University of Community Service and Science
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- KAYABA Natsumi
- Waseda University, Graduate School of Human Sciences
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- SAITO Miho
- Waseda University, Faculty of Human Sciences
Bibliographic Information
- Other Title
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- 表情の変化量と笑いの分類の検討
- ヒョウジョウ ノ ヘンカリョウ ト ワライ ノ ブンルイ ノ ケントウ
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Abstract
Conventionally speaking, a “smile” is considered an expression that characterizes the emotion of “happiness.” However, the word does not only refer to positive emotions such as happiness. It can also indicate negative emotions experienced in daily life (e.g., wry smile). This study categorizes expressions of five commonly used phrases with the word “smile” according to variation in expression and degree of positivity. As a result of a cluster analysis, χ2-test and ANOVA, three categories resulted: (1) somewhat negative smile with small variation, (2) smile with moderate variation and positivity, and (3) smile with large variation and positivity. In order to further study these characteristics, we analyzed the variations in individual facial expressions. The results showed that an increase in positivity was characterized by raised eyebrow ends, narrowing of the eyes, a wider mouth, and a smaller change in the corner of the mouth. Because variations in eyebrows and eyes are smaller than those in the mouth, there is a possibility that a smile is judged based on the change seen in the mouth. In order to analyze the psychological influence of the three types of smiles, personal impressions were also evaluated for each type of smile. We applied four factors that were extracted through factor analysis: favor ability, vitality, dominance, and femininity. The study revealed that the larger the variance, the higher the evaluation of vitality, dominance, and femininity, and the lower the evaluation of favor ability.
Journal
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- Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
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Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 23 (2), 186-197, 2011
Japan Society for Fuzzy Theory and Intelligent Informatics
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Keywords
Details 詳細情報について
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- CRID
- 1390282680162303744
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- NII Article ID
- 10028090418
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- NII Book ID
- AA1181479X
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- ISSN
- 18817203
- 13477986
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- NDL BIB ID
- 11094007
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed