Split-second trustworthiness detection from faces in an economic game

Wim de Neys (), Astrid Hopfensitz and Jean-François Bonnefon
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Wim de Neys: LaPsyDÉ - UMR 8240 - Laboratoire de psychologie du développement et de l'éducation de l'enfant - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UPD5 - Université Paris Descartes - Paris 5 - CNRS - Centre National de la Recherche Scientifique

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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

Keywords: Trust Game; Face evaluation; Intuitive processing (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (7)

Published in Experimental Psychology, 2017, 64 (4), pp.231-239. ⟨10.1027/1618-3169/a000367⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-01698433

DOI: 10.1027/1618-3169/a000367

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