Literature DB >> 33479387

Predominance of eyes and surface information for face race categorization.

Isabelle Bülthoff1, Wonmo Jung2, Regine G M Armann3,2, Christian Wallraven2.   

Abstract

Faces can be categorized in various ways, for example as male or female or as belonging to a specific biogeographic ancestry (race). Here we tested the importance of the main facial features for race perception. We exchanged inner facial features (eyes, mouth or nose), face contour (everything but those) or texture (surface information) between Asian and Caucasian faces. Features were exchanged one at a time, creating for each Asian/Caucasian face pair ten facial variations of the original face pair. German and Korean participants performed a race classification task on all faces presented in random order. The results show that eyes and texture are major determinants of perceived biogeographic ancestry for both groups of participants and for both face types. Inserting these features in a face of another race changed its perceived biogeographic ancestry. Contour, nose and mouth, in that order, had decreasing and much weaker influence on race perception for both participant groups. Exchanging those features did not induce a change of perceived biogeographic ancestry. In our study, all manipulated features were imbedded in natural looking faces, which were shown in an off-frontal view. Our findings confirm and extend previous studies investigating the importance of various facial features for race perception.

Entities:  

Year:  2021        PMID: 33479387      PMCID: PMC7820007          DOI: 10.1038/s41598-021-81476-1

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  31 in total

1.  Race as a visual feature: using visual search and perceptual discrimination tasks to understand face categories and the cross-race recognition deficit.

Authors:  D T Levin
Journal:  J Exp Psychol Gen       Date:  2000-12

2.  The role of eyebrows in face recognition.

Authors:  Javid Sadr; Izzat Jarudi; Pawan Sinha
Journal:  Perception       Date:  2003       Impact factor: 1.490

3.  The role of features and configural processing in face-race classification.

Authors:  Lun Zhao; Shlomo Bentin
Journal:  Vision Res       Date:  2011-10-08       Impact factor: 1.886

4.  Face recognition under varying poses: the role of texture and shape.

Authors:  N F Troje; H H Bülthoff
Journal:  Vision Res       Date:  1996-06       Impact factor: 1.886

5.  Looking at faces from different angles: Europeans fixate different features in Asian and Caucasian faces.

Authors:  Aenne A Brielmann; Isabelle Bülthoff; Regine Armann
Journal:  Vision Res       Date:  2014-05-04       Impact factor: 1.886

6.  Configurational information in face perception.

Authors:  A W Young; D Hellawell; D C Hay
Journal:  Perception       Date:  1987       Impact factor: 1.490

7.  What gives a face its gender?

Authors:  E Brown; D I Perrett
Journal:  Perception       Date:  1993       Impact factor: 1.490

8.  Uncovering gender discrimination cues in a realistic setting.

Authors:  Nicolas Dupuis-Roy; Isabelle Fortin; Daniel Fiset; Frédéric Gosselin
Journal:  J Vis       Date:  2009-02-10       Impact factor: 2.240

9.  Adults scan own- and other-race faces differently.

Authors:  Genyue Fu; Chao S Hu; Qiandong Wang; Paul C Quinn; Kang Lee
Journal:  PLoS One       Date:  2012-06-01       Impact factor: 3.240

10.  Culture shapes how we look at faces.

Authors:  Caroline Blais; Rachael E Jack; Christoph Scheepers; Daniel Fiset; Roberto Caldara
Journal:  PLoS One       Date:  2008-08-20       Impact factor: 3.240

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  1 in total

1.  Corneal reflections and skin contrast yield better memory of human and virtual faces.

Authors:  Julija Vaitonytė; Maryam Alimardani; Max M Louwerse
Journal:  Cogn Res Princ Implic       Date:  2022-10-18
  1 in total

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