Split-second trustworthiness detection from faces in an economic game

Wim de Neys , Astrid Hopfensitz (1) , Jean-François Bonnefon (2, 1)

1 TSE-R - Toulouse School of Economics
2 TSM - Toulouse School of Management Research

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

Mots clés: Trust Game; Face evaluation; Intuitive processing

Domaines: Gestion et management

Wim de Neys, Astrid Hopfensitz, Jean-François Bonnefon. Split-second trustworthiness detection from faces in an economic game. Experimental Psychology, 2017, 64 (4), pp.231-239. ⟨10.1027/1618-3169/a000367⟩. ⟨halshs-01698433⟩