Presentation | 2003/4/18 Cognitive Mechanism of Facial Expression in Japanese : Reexamination with Posed Facial Expressions Ayami MIURA, Kiyoshi MAIYA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In order to investigate into discrimination of basic/typical facial expressions and cognitive mechanisms for them in Japanese, facial expressions of 7 emotions of two photo models (1 male, 1 female) were recorded and exposed to 140 students who were asked discriminate them into 11 categories (happy, surprise, fear, anger, disgust, sadness, contempt, interest, shame, guilt, and embarrassment). The results indicated that Japanese people could read emotions from each of basic and typical facial expressions correctly. And the results of factor analysis suggested that Japanese people changed their cognitive mechanism for sadness between when they saw typical Japanese facial expressions and when they saw basic/typical Westerners facial expressions. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | facial expressions / cognitive mechanisms / Japanese |
Paper # | HCS2003-5 |
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Committee | HCS |
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Conference Date | 2003/4/18(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Human Communication Science (HCS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Cognitive Mechanism of Facial Expression in Japanese : Reexamination with Posed Facial Expressions |
Sub Title (in English) | |
Keyword(1) | facial expressions |
Keyword(2) | cognitive mechanisms |
Keyword(3) | Japanese |
1st Author's Name | Ayami MIURA |
1st Author's Affiliation | Graduate School of Cultural Studies and Human Science, Kobe University() |
2nd Author's Name | Kiyoshi MAIYA |
2nd Author's Affiliation | Research Institute for Higher Education, Kobe University |
Date | 2003/4/18 |
Paper # | HCS2003-5 |
Volume (vol) | vol.103 |
Number (no) | 32 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |