Literature DB >> 33083987

Independent contributions of the face, body, and gait to the representation of the whole person.

Noa Simhi1, Galit Yovel2,3.   

Abstract

Most studies on person perception have primarily investigated static images of faces. However, real-life person perception also involves the body and often the gait of the whole person. Whereas some studies indicated that the face dominates the representation of the whole person, others have emphasized the additional contribution of the body and gait. Here, we compared models of whole-person perception by asking whether a model that includes the body for static whole-person stimuli and also the gait for dynamic whole-person stimuli accounts better for the representation of the whole person than a model that takes into account the face alone. Participants rated the distinctiveness of static or dynamic displays of different people based on either the whole person, face, body, or gait. By fitting a linear regression model to the representation of the whole person based on the face, body, and gait, we revealed that the face and body contribute uniquely and independently to the representation of the static whole person, and that gait further contributes to the representation of the dynamic person. A complementary analysis examined whether these components are also valid dimensions of a whole-person representational space. This analysis further confirmed that the body in addition to the face as well as the gait are valid dimensions of the static and dynamic whole-person representations, respectively. These data clearly show that whole-person perception goes beyond the face and is significantly influenced by the body and gait.

Entities:  

Keywords:  Biological motion; Face perception; Gait; Person perception; Representational space

Mesh:

Year:  2021        PMID: 33083987     DOI: 10.3758/s13414-020-02110-2

Source DB:  PubMed          Journal:  Atten Percept Psychophys        ISSN: 1943-3921            Impact factor:   2.199


  20 in total

1.  Caricature effects, distinctiveness, and identification: testing the face-space framework.

Authors:  K Lee; G Byatt; G Rhodes
Journal:  Psychol Sci       Date:  2000-09

2.  Norm-based face encoding by single neurons in the monkey inferotemporal cortex.

Authors:  David A Leopold; Igor V Bondar; Martin A Giese
Journal:  Nature       Date:  2006-07-05       Impact factor: 49.962

3.  Gait analysis in forensic medicine*.

Authors:  Peter K Larsen; Erik B Simonsen; Niels Lynnerup
Journal:  J Forensic Sci       Date:  2008-07-11       Impact factor: 1.832

4.  The Psychophysics Toolbox.

Authors:  D H Brainard
Journal:  Spat Vis       Date:  1997

5.  Reverse engineering the face space: Discovering the critical features for face identification.

Authors:  Naphtali Abudarham; Galit Yovel
Journal:  J Vis       Date:  2016       Impact factor: 2.240

6.  Creating Body Shapes From Verbal Descriptions by Linking Similarity Spaces.

Authors:  Matthew Q Hill; Stephan Streuber; Carina A Hahn; Michael J Black; Alice J O'Toole
Journal:  Psychol Sci       Date:  2016-10-05

7.  A video database of moving faces and people.

Authors:  Alice J O'Toole; Joshua Harms; Sarah L Snow; Dawn R Hurst; Matthew R Pappas; Janet H Ayyad; Hervé Abdi
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  2005-05       Impact factor: 6.226

8.  Holistic person processing: faces with bodies tell the whole story.

Authors:  Hillel Aviezer; Yaacov Trope; Alexander Todorov
Journal:  J Pers Soc Psychol       Date:  2012-02-20

9.  First Impressions of Personality Traits From Body Shapes.

Authors:  Ying Hu; Connor J Parde; Matthew Q Hill; Naureen Mahmood; Alice J O'Toole
Journal:  Psychol Sci       Date:  2018-10-22

10.  cocor: a comprehensive solution for the statistical comparison of correlations.

Authors:  Birk Diedenhofen; Jochen Musch
Journal:  PLoS One       Date:  2015-04-02       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.