Background factors predicting accuracy and improvement in micro expression recognition
Micro expressions are brief facial expressions displayed when people attempt to conceal, hide, or repress their emotions. They are difficult to detect in real time, yet individuals who can accurately identify micro expressions receive higher workplace evaluations and can better detect deception. Two...
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Veröffentlicht in: | Motivation and emotion 2014-10, Vol.38 (5), p.700-714 |
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creator | Hurley, Carolyn M. Anker, Ashley E. Frank, Mark G. Matsumoto, David Hwang, Hyisung C. |
description | Micro expressions are brief facial expressions displayed when people attempt to conceal, hide, or repress their emotions. They are difficult to detect in real time, yet individuals who can accurately identify micro expressions receive higher workplace evaluations and can better detect deception. Two studies featuring college students and security officers examined background factors that may account for accuracy differences when reading micro expressions, both before and after training. Study 1 revealed that college students who were younger and high in openness to experience were better at recognizing micro expressions. However, individual differences did not predict improvement in micro expression recognition gained through training. Study 2 revealed experiential factors such as prior facial expression training and lack of law enforcement experience were more predictive of micro expression recognition than personality or demographic factors. Individuals in both studies showed recognition improvement with training, and the implications of the ability to improve at micro expression recognition are discussed in the context of security and interpersonal situations. |
doi_str_mv | 10.1007/s11031-014-9410-9 |
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subjects | Accuracy Behavioral Science and Psychology Clinical Psychology College students Colleges & universities Deception Emotions Law enforcement Original Paper Personality Personality and Social Psychology Psychology |
title | Background factors predicting accuracy and improvement in micro expression recognition |
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