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Split-second trustworthiness detection from faces in an economic game

Author

Listed:
  • Wim de Neys
  • Astrid Hopfensitz

    (TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - INRA - Institut National de la Recherche Agronomique - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique)

  • Jean-François Bonnefon

    (TSM - Toulouse School of Management Research - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - CNRS - Centre National de la Recherche Scientifique - TSM - Toulouse School of Management - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse, TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - INRA - Institut National de la Recherche Agronomique - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique)

Abstract

Economic interactions often imply to gauge the trustworthiness of others. Recent studies showed that when making trust decisions in economic games, people have some accuracy in detecting trustworthiness from the facial features of unknown partners. Here we provide evidence that this face-based trustworthiness detection is a fast and intuitive process by testing its performance at split-second levels of exposure. Participants played a Trust game, in which they made decisions whether to trust another player based on their picture. In two studies, we manipulated the exposure time of the picture. We observed that trustworthiness detection remained better than chance for exposure times as short as 100 ms, although it disappeared with an exposure time of 33 ms. We discuss implications for ongoing debates on the use of facial inferences for social and economic decisions

Suggested Citation

  • Wim de Neys & Astrid Hopfensitz & Jean-François Bonnefon, 2017. "Split-second trustworthiness detection from faces in an economic game," Post-Print halshs-01698433, HAL.
    • Handle: RePEc:hal:journl:halshs-01698433
    DOI: 10.1027/1618-3169/a000367
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    Citations

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    Cited by:

    1. Zylbersztejn, Adam & Babutsidze, Zakaria & Hanaki, Nobuyuki, 2020. "Preferences for observable information in a strategic setting: An experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 170(C), pages 268-285.
    2. repec:hal:spmain:info:hdl:2441/3r19808hvq8dlb97k36cbcqihj is not listed on IDEAS
    3. Jaeger, Bastian & Oud, Bastiaan & Williams, Tony & Krumhuber, Eva G. & Fehr, Ernst & Engelmann, Jan B., 2022. "Can people detect the trustworthiness of strangers based on their facial appearance?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 43(4), pages 296-303.
    4. Adam Zylbersztejn & Zakaria Babutsidze & Nobuyuki Hanaki & Astrid Hopfensitz, 2023. "How beautiful people see the world: Cooperativeness judgments of and by beautiful people," Working Papers 2309, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    5. Balafoutas, Loukas & Fornwagner, Helena & Grosskopf, Brit, 2023. "Predictably competitive? What faces can tell us about competitive behavior," Games and Economic Behavior, Elsevier, vol. 142(C), pages 931-940.

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