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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Main Authors: Linlin Yan, Zhe Wang, Jianling Huang, Yu-Hao P. Sun, Rebecca A. Judges, Naiqi G. Xiao, Kang Lee
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-10-01
Series:Frontiers in Psychology
Subjects:
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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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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