A1 Refereed original research article in a scientific journal
Recognition of Facial Expressions of Emotion is Related to their Frequency in Everyday Life
Authors: Calvo MG, Gutierrez-Garcia A, Fernandez-Martin A, Nummenmaa L
Publisher: SPRINGER
Publication year: 2014
Journal: Journal of Nonverbal Behavior
Journal name in source: JOURNAL OF NONVERBAL BEHAVIOR
Journal acronym: J NONVERBAL BEHAV
Volume: 38
Issue: 4
First page : 549
Last page: 567
Number of pages: 19
ISSN: 0191-5886
eISSN: 1573-3653
DOI: https://doi.org/10.1007/s10919-014-0191-3
Abstract
Cross-cultural and laboratory research indicates that some facial expressions of emotion are recognized more accurately and faster than others. We assessed the hypothesis that such differences depend on the frequency with which each expression occurs in social encounters. Thirty observers recorded how often they saw different facial expressions during natural conditions in their daily life. For a total of 90 days (3 days per observer), 2,462 samples of seen expressions were collected. Among the basic expressions, happy faces were observed most frequently (31 %), followed by surprised (11.3 %), sad (9.3 %), angry (8.7 %), disgusted (7.2 %), and fearful faces, which were the least frequent (3.4 %). A significant amount (29 %) of non-basic emotional expressions (e.g., pride or shame) were also observed. We correlated our frequency data with recognition accuracy and response latency data from prior studies. In support of the hypothesis, significant correlations (generally, above .70) emerged, with recognition accuracy increasing and latency decreasing as a function of frequency. We conclude that the efficiency of facial emotion recognition is modulated by familiarity of the expressions.
Cross-cultural and laboratory research indicates that some facial expressions of emotion are recognized more accurately and faster than others. We assessed the hypothesis that such differences depend on the frequency with which each expression occurs in social encounters. Thirty observers recorded how often they saw different facial expressions during natural conditions in their daily life. For a total of 90 days (3 days per observer), 2,462 samples of seen expressions were collected. Among the basic expressions, happy faces were observed most frequently (31 %), followed by surprised (11.3 %), sad (9.3 %), angry (8.7 %), disgusted (7.2 %), and fearful faces, which were the least frequent (3.4 %). A significant amount (29 %) of non-basic emotional expressions (e.g., pride or shame) were also observed. We correlated our frequency data with recognition accuracy and response latency data from prior studies. In support of the hypothesis, significant correlations (generally, above .70) emerged, with recognition accuracy increasing and latency decreasing as a function of frequency. We conclude that the efficiency of facial emotion recognition is modulated by familiarity of the expressions.
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