Evidence and a Computational Explanation of Cultural Differences in Facial Expression Recognition

被引:122
作者
Dailey, Matthew N. [1 ]
Joyce, Carrie [2 ]
Lyons, Michael J. [3 ]
Kamachi, Miyuki [4 ]
Ishi, Hanae [5 ]
Gyoba, Jiro [6 ]
Cottrell, Garrison W. [2 ]
机构
[1] Asian Inst Technol, Klongluang 12120, Pathumthani, Thailand
[2] Univ Calif San Diego, San Diego, CA 92103 USA
[3] Ritsumeikan Univ, Coll Image Arts & Sci, Kyoto, Japan
[4] Kogakuin Univ, Fac Informat, Tokyo 160, Japan
[5] Sendai Natl Coll Technol, Dept Design & Comp Applicat, Sendai, Miyagi, Japan
[6] Tohoku Univ, Dept Psychol, Sendai, Miyagi 980, Japan
关键词
facial expressions; cross-cultural emotion recognition; computational modeling; IN-GROUP ADVANTAGE; EMOTION; JAPANESE; JUDGMENTS; UNIVERSALS; INTENSITY; RATINGS; SELF; FACE;
D O I
10.1037/a0020019
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Facial expressions are crucial to human social communication, but the extent to which they are innate and universal versus learned and culture dependent is a subject of debate. Two studies explored the effect of culture and learning on facial expression understanding. In Experiment 1, Japanese and U.S. participants interpreted facial expressions of emotion. Each group was better than the other at classifying facial expressions posed by members of the same culture. In Experiment 2, this reciprocal in-group advantage was reproduced by a neurocomputational model trained in either a Japanese cultural context or an American cultural context. The model demonstrates how each of us, interacting with others in a particular cultural context, learns to recognize a culture-specific facial expression dialect.
引用
收藏
页码:874 / 893
页数:20
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