J. Tipples
The eyebrow frown: a salient social signal
Tipples, J.; Atkinson, A.P.; Young, A.W.
Abstract
Seven experiments investigated the finding that threatening schematic faces are detected more quickly than nonthreatening faces. Threatening faces with ∨-shaped eyebrows (angry and scheming expressions) were detected more quickly than nonthreatening faces with ∧-shaped eyebrows (happy and sad expressions). In contrast to the hypothesis that these effects were due to perceptual features unrelated to the face, no advantage was found for ∨-shaped eyebrows presented in a nonfacelike object. Furthermore, the addition of internal facial features (the eyes, or the nose and mouth) was necessary to produce the detection advantage for faces with ∨-shaped eyebrows. Overall, the results are interpreted as showing that the ∨-shaped eyebrow configuration affords easy detection, but only when other internal facial features are present.
Citation
Tipples, J., Atkinson, A., & Young, A. (2002). The eyebrow frown: a salient social signal. Emotion, 2(3), 288-296. https://doi.org/10.1037/1528-3542.2.3.288
Journal Article Type | Article |
---|---|
Publication Date | 2002-09 |
Journal | Emotion |
Print ISSN | 1528-3542 |
Electronic ISSN | 1931-1516 |
Publisher | American Psychological Association |
Peer Reviewed | Peer Reviewed |
Volume | 2 |
Issue | 3 |
Pages | 288-296 |
DOI | https://doi.org/10.1037/1528-3542.2.3.288 |
Public URL | https://durham-repository.worktribe.com/output/1627978 |
Publisher URL | https://doi.org/10.1037/1528-3542.2.3.288 |
You might also like
The development of visually guided stepping
(2019)
Journal Article
Tuning the developing brain to emotional body expressions
(2014)
Journal Article
Bodily expressions of emotion: Visual cues and neural mechanisms
(2013)
Book Chapter
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search