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Women's Greater Ability to Perceive Happy Facial Emotion Automatically: Gender Differences in Affective Priming

Overview of attention for article published in PLOS ONE, July 2012
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Title
Women's Greater Ability to Perceive Happy Facial Emotion Automatically: Gender Differences in Affective Priming
Published in
PLOS ONE, July 2012
DOI 10.1371/journal.pone.0041745
Pubmed ID
Authors

Uta-Susan Donges, Anette Kersting, Thomas Suslow

Abstract

There is evidence that women are better in recognizing their own and others' emotions. The female advantage in emotion recognition becomes even more apparent under conditions of rapid stimulus presentation. Affective priming paradigms have been developed to examine empirically whether facial emotion stimuli presented outside of conscious awareness color our impressions. It was observed that masked emotional facial expression has an affect congruent influence on subsequent judgments of neutral stimuli. The aim of the present study was to examine the effect of gender on affective priming based on negative and positive facial expression. In our priming experiment sad, happy, neutral, or no facial expression was briefly presented (for 33 ms) and masked by neutral faces which had to be evaluated. 81 young healthy volunteers (53 women) participated in the study. Subjects had no subjective awareness of emotional primes. Women did not differ from men with regard to age, education, intelligence, trait anxiety, or depressivity. In the whole sample, happy but not sad facial expression elicited valence congruent affective priming. Between-group analyses revealed that women manifested greater affective priming due to happy faces than men. Women seem to have a greater ability to perceive and respond to positive facial emotion at an automatic processing level compared to men. High perceptual sensitivity to minimal social-affective signals may contribute to women's advantage in understanding other persons' emotional states.

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Geographical breakdown

Country Count As %
Germany 3 1%
United Kingdom 1 <1%
Canada 1 <1%
Unknown 219 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 42 19%
Student > Master 40 18%
Student > Ph. D. Student 39 17%
Researcher 29 13%
Student > Doctoral Student 10 4%
Other 29 13%
Unknown 35 16%
Readers by discipline Count As %
Psychology 116 52%
Medicine and Dentistry 11 5%
Social Sciences 9 4%
Agricultural and Biological Sciences 8 4%
Neuroscience 7 3%
Other 29 13%
Unknown 44 20%