| Title |
Faces are special, but facial expressions aren’t: Insights from an oculomotor capture paradigm
|
|---|---|
| Published in |
Attention, Perception, & Psychophysics, April 2017
|
| DOI | 10.3758/s13414-017-1313-x |
| Pubmed ID | |
| Authors |
Christel Devue, Gina M. Grimshaw |
| Abstract |
We compared the ability of angry and neutral faces to drive oculomotor behaviour as a test of the widespread claim that emotional information is automatically prioritized when competing for attention. Participants were required to make a saccade to a colour singleton; photos of angry or neutral faces appeared amongst other objects within the array, and were completely irrelevant for the task. Eye-tracking measures indicate that faces drive oculomotor behaviour in a bottom-up fashion; however, angry faces are no more likely to capture the eyes than neutral faces are. Saccade latencies suggest that capture occurrs via reflexive saccades and that the outcome of competition between salient items (colour singletons and faces) may be subject to fluctuations in attentional control. Indeed, although angry and neutral faces captured the eyes reflexively on a portion of trials, participants successfully maintained goal-relevant oculomotor behaviour on a majority of trials. We outline potential cognitive and brain mechanisms underlying oculomotor capture by faces. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 19% |
| Student > Master | 8 | 17% |
| Researcher | 7 | 15% |
| Student > Bachelor | 4 | 9% |
| Student > Doctoral Student | 3 | 6% |
| Other | 9 | 19% |
| Unknown | 7 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 21 | 45% |
| Neuroscience | 7 | 15% |
| Engineering | 2 | 4% |
| Business, Management and Accounting | 1 | 2% |
| Linguistics | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 11 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 September 2021.
All research outputs
#18,827,930
of 24,003,070 outputs
Outputs from Attention, Perception, & Psychophysics
#1,508
of 1,773 outputs
Outputs of similar age
#225,402
of 313,027 outputs
Outputs of similar age from Attention, Perception, & Psychophysics
#18
of 37 outputs
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