| Title |
Contextual Modulation of Biases in Face Recognition
|
|---|---|
| Published in |
PLOS ONE, September 2010
|
| DOI | 10.1371/journal.pone.0012939 |
| Pubmed ID | |
| Authors |
Fatima Maria Felisberti, Louisa Pavey |
| Abstract |
The ability to recognize the faces of potential cooperators and cheaters is fundamental to social exchanges, given that cooperation for mutual benefit is expected. Studies addressing biases in face recognition have so far proved inconclusive, with reports of biases towards faces of cheaters, biases towards faces of cooperators, or no biases at all. This study attempts to uncover possible causes underlying such discrepancies. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 80% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 7% |
| Chile | 1 | 1% |
| France | 1 | 1% |
| Switzerland | 1 | 1% |
| Ireland | 1 | 1% |
| Spain | 1 | 1% |
| Japan | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 62 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 15% |
| Student > Bachelor | 11 | 15% |
| Student > Master | 10 | 14% |
| Researcher | 6 | 8% |
| Professor | 5 | 7% |
| Other | 19 | 26% |
| Unknown | 12 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 37 | 50% |
| Agricultural and Biological Sciences | 8 | 11% |
| Physics and Astronomy | 3 | 4% |
| Computer Science | 2 | 3% |
| Engineering | 2 | 3% |
| Other | 7 | 9% |
| Unknown | 15 | 20% |