Evidence and a Computational Explanation of Cultural Differences in Facial Expression Recognition
By Matthew M. Dailey, Carrie A. Joyce, Michael J. Lyons, Miyuki G. Kamachi, Hanae Ishi, Jiro Gyoba, Garrison W. Cottrell. 2010
179 citations recorded by the source corpus.
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.
Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology, Social Psychology
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Citations in the corpus
- The EMPATHIC Framework for Task Learning from Implicit Human Feedback (2020, background): “[16] M.”
- Nonverbal Dialects and Accents in Facial Expressions of Emotion (2013, background): “Introductory psychology textbooks tell the story of Ekman (1972) and Izard (1971), who took black-and-white photographs of American facial expressions on round-the-world tours with the goal of demonstrating that emotions are universal.”