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The Basel Face Database: A validated set of photographs reflecting systematic differences in Big Two and Big Five personality dimensions

Walker, Mirella and Schönborn, Sandro and Greifeneder, Rainer and Vetter, Thomas. (2018) The Basel Face Database: A validated set of photographs reflecting systematic differences in Big Two and Big Five personality dimensions. PloS one, 13 (3). pp. 1-20.

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Abstract

Upon a first encounter, individuals spontaneously associate faces with certain personality dimensions. Such first impressions can strongly impact judgments and decisions and may prove highly consequential. Researchers investigating the impact of facial information often rely on (a) real photographs that have been selected to vary on the dimension of interest, (b) morphed photographs, or (c) computer-generated faces (avatars). All three approaches have distinct advantages. Here we present the Basel Face Database, which combines these advantages. In particular, the Basel Face Database consists of real photographs that are subtly, but systematically manipulated to show variations in the perception of the Big Two and the Big Five personality dimensions. To this end, the information specific to each psychological dimension is isolated and modeled in new photographs. Two studies serve as systematic validation of the Basel Face Database. The Basel Face Database opens a new pathway for researchers across psychological disciplines to investigate effects of perceived personality.
Faculties and Departments:07 Faculty of Psychology > Departement Psychologie
07 Faculty of Psychology > Departement Psychologie > Society & Choice > Sozialpsychologie (Greifeneder)
UniBasel Contributors:Greifeneder, Rainer and Walker, Mirella and Vetter, Thomas and Schönborn, Sandro
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Public Library of Science
ISSN:1932-6203
Note:Publication type according to Uni Basel Research Database: Journal article
Language:English
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edoc DOI:
Last Modified:18 Feb 2019 09:36
Deposited On:12 Feb 2019 10:30

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