Own-Group Face Recognition Bias: The Effects of Location and Reputation
In the present study, we examined whether social categorization based on university affiliation can induce an advantage in recognizing faces. Moreover, we investigated how the reputation or location of the university affected face recognition performance using an old/new paradigm. We assigned five d...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2017-10-01
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Series: | Frontiers in Psychology |
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Online Access: | http://journal.frontiersin.org/article/10.3389/fpsyg.2017.01734/full |
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author | Linlin Yan Linlin Yan Zhe Wang Jianling Huang Yu-Hao P. Sun Rebecca A. Judges Naiqi G. Xiao Kang Lee |
author_facet | Linlin Yan Linlin Yan Zhe Wang Jianling Huang Yu-Hao P. Sun Rebecca A. Judges Naiqi G. Xiao Kang Lee |
author_sort | Linlin Yan |
collection | DOAJ |
description | In the present study, we examined whether social categorization based on university affiliation can induce an advantage in recognizing faces. Moreover, we investigated how the reputation or location of the university affected face recognition performance using an old/new paradigm. We assigned five different university labels to the faces: participants’ own university and four other universities. Among the four other university labels, we manipulated the academic reputation and geographical location of these universities relative to the participants’ own university. The results showed that an own-group face recognition bias emerged for faces with own-university labels comparing to those with other-university labels. Furthermore, we found a robust own-group face recognition bias only when the other university was located in a different city far away from participants’ own university. Interestingly, we failed to find the influence of university reputation on own-group face recognition bias. These results suggest that categorizing a face as a member of one’s own university is sufficient to enhance recognition accuracy and the location will play a more important role in the effect of social categorization on face recognition than reputation. The results provide insight into the role of motivational factors underlying the university membership in face perception. |
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format | Article |
id | doaj.art-7a277151739d49d98d209958cf3ae7cb |
institution | Directory Open Access Journal |
issn | 1664-1078 |
language | English |
last_indexed | 2024-12-17T10:56:40Z |
publishDate | 2017-10-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Psychology |
spelling | doaj.art-7a277151739d49d98d209958cf3ae7cb2022-12-21T21:51:47ZengFrontiers Media S.A.Frontiers in Psychology1664-10782017-10-01810.3389/fpsyg.2017.01734287179Own-Group Face Recognition Bias: The Effects of Location and ReputationLinlin Yan0Linlin Yan1Zhe Wang2Jianling Huang3Yu-Hao P. Sun4Rebecca A. Judges5Naiqi G. Xiao6Kang Lee7Department of Psychology, Zhejiang Sci-Tech University, Hangzhou, ChinaDepartment of Applied Psychology and Human Development, University of Toronto, Toronto, ON, CanadaDepartment of Psychology, Zhejiang Sci-Tech University, Hangzhou, ChinaDepartment of Psychology, Zhejiang Sci-Tech University, Hangzhou, ChinaDepartment of Psychology, Zhejiang Sci-Tech University, Hangzhou, ChinaDepartment of Applied Psychology and Human Development, University of Toronto, Toronto, ON, CanadaDepartment of Psychology, Princeton University, Princeton, NJ, United StatesDepartment of Applied Psychology and Human Development, University of Toronto, Toronto, ON, CanadaIn the present study, we examined whether social categorization based on university affiliation can induce an advantage in recognizing faces. Moreover, we investigated how the reputation or location of the university affected face recognition performance using an old/new paradigm. We assigned five different university labels to the faces: participants’ own university and four other universities. Among the four other university labels, we manipulated the academic reputation and geographical location of these universities relative to the participants’ own university. The results showed that an own-group face recognition bias emerged for faces with own-university labels comparing to those with other-university labels. Furthermore, we found a robust own-group face recognition bias only when the other university was located in a different city far away from participants’ own university. Interestingly, we failed to find the influence of university reputation on own-group face recognition bias. These results suggest that categorizing a face as a member of one’s own university is sufficient to enhance recognition accuracy and the location will play a more important role in the effect of social categorization on face recognition than reputation. The results provide insight into the role of motivational factors underlying the university membership in face perception.http://journal.frontiersin.org/article/10.3389/fpsyg.2017.01734/fullown-group face recognition biasin-group membersout-group memberslocationreputation |
spellingShingle | Linlin Yan Linlin Yan Zhe Wang Jianling Huang Yu-Hao P. Sun Rebecca A. Judges Naiqi G. Xiao Kang Lee Own-Group Face Recognition Bias: The Effects of Location and Reputation Frontiers in Psychology own-group face recognition bias in-group members out-group members location reputation |
title | Own-Group Face Recognition Bias: The Effects of Location and Reputation |
title_full | Own-Group Face Recognition Bias: The Effects of Location and Reputation |
title_fullStr | Own-Group Face Recognition Bias: The Effects of Location and Reputation |
title_full_unstemmed | Own-Group Face Recognition Bias: The Effects of Location and Reputation |
title_short | Own-Group Face Recognition Bias: The Effects of Location and Reputation |
title_sort | own group face recognition bias the effects of location and reputation |
topic | own-group face recognition bias in-group members out-group members location reputation |
url | http://journal.frontiersin.org/article/10.3389/fpsyg.2017.01734/full |
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