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Abstract
This article addresses gender differences in laughter and smiling from an evolutionary perspective. Laughter and smiling can be responses to successful display behavior or signals of affiliation amongst conversational partners—differing social and evolutionary agendas mean there are different motivations when interpreting these signals. Two experiments assess perceptions of genuine
and simulated male and female laughter and amusement social signals. Results show male simulation can always be distinguished. Female simulation is more complicated as males seem to distinguish cues of simulation yet judge simulated signals to be genuine. Females judge other female’s genuine signals to have higher levels of simulation. Results highlight the importance of laughter and smiling in human interactions, use of dynamic stimuli, and using multiple methodologies to assess perception.
and simulated male and female laughter and amusement social signals. Results show male simulation can always be distinguished. Female simulation is more complicated as males seem to distinguish cues of simulation yet judge simulated signals to be genuine. Females judge other female’s genuine signals to have higher levels of simulation. Results highlight the importance of laughter and smiling in human interactions, use of dynamic stimuli, and using multiple methodologies to assess perception.
Original language | English |
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Pages (from-to) | 30-38 |
Number of pages | 9 |
Journal | Emotion Review |
Volume | 7 |
Issue number | 1 |
DOIs | |
Publication status | Published - Jan 2015 |
ASJC Scopus subject areas
- General Psychology
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Dive into the research topics of 'Gender Differences in the Perceptions of Genuine and Simulated Laughter and Amused Facial Expressions'. Together they form a unique fingerprint.Projects
- 1 Active
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R6772PSY: EU FP7 'ILHAIRE' PROJECT NUMBER 270780
Curran, W. (PI), Cowie, R. (CoI), Douglas-Cowie, E. (CoI) & Storey, L. (CoI)
01/08/2010 → …
Project: Research
Profiles
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Gary McKeown
- School of Psychology - Senior Lecturer
- Intelligent Autonomous Manufacturing Systems
Person: Academic