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

PloS one, 2018-03, Vol.13 (3), p.e0193190-e0193190 [Peer Reviewed Journal]

COPYRIGHT 2018 Public Library of Science ;COPYRIGHT 2018 Public Library of Science ;2018 Walker et al 2018 Walker et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0193190 ;PMID: 29590124

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  • Title:
    The Basel Face Database: A validated set of photographs reflecting systematic differences in Big Two and Big Five personality dimensions
  • Author: Walker, Mirella ; Schönborn, Sandro ; Greifeneder, Rainer ; Vetter, Thomas
  • Hills, Peter James
  • Subjects: Biology and Life Sciences ; First impression (Psychology) ; First impressions (Psychology) ; Medicine and Health Sciences ; Research and Analysis Methods ; Social Sciences
  • Is Part Of: PloS one, 2018-03, Vol.13 (3), p.e0193190-e0193190
  • Description: 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.
  • Publisher: United States: Public Library of Science
  • Language: English
  • Identifier: ISSN: 1932-6203
    EISSN: 1932-6203
    DOI: 10.1371/journal.pone.0193190
    PMID: 29590124
  • Source: GFMER Free Medical Journals
    PubMed Central
    Public Library of Science (PLoS)
    ProQuest Central
    DOAJ Directory of Open Access Journals
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