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Detecting trustworthiness in strangers: human faces vary in their informativeness, but cannot be accurately judged
Journal article   Peer reviewed

Detecting trustworthiness in strangers: human faces vary in their informativeness, but cannot be accurately judged

Adam Zylbersztejn, Zakaria Babutsidze, Nobuyuki Hanaki and Astrid Hopfensitz
Theory and Decision
27/07/2026

Abstract

Trustworthiness Inference Facial information Individual heterogeneity Hidden action game Economic experiment Economics
In social interactions, humans care about knowing their partner's face. Some experiments report that facial information facilitates trustworthiness detection, while others find it does not. We add to this literature by exploring heterogeneity in the demand for, and in the usefulness of, facial information. The incentivized experimental task consists in predicting strangers' trustworthiness from neutral portrait pictures. Using data from a three-stage laboratory experiment ( N=357 ) including two independent sets of stimuli coupled with two distinct sources of predictions, we document substantial heterogeneity in facial informativeness. However, we find that trustworthiness detection from facial information is not an ability. Nonetheless, individuals assign excessive value to receiving facial information about others.
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Web of Science research areas
Economics
Social Sciences, Mathematical Methods
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