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Psychological Science Vol. 23 No. 12 2012

Detecting the Trustworthiness of Novel Partners in Economic Exchange

David DeSteno1; Cynthia Breazeal2; Robert H. Frank3; David A. Pizarro4; Jolie Baumann1; Leah Dickens1; Jin Joo Lee2

1 Department of Psychology, Northeastern University · 2 Media Lab, Massachusetts Institute of Technology · 3 Johnson Graduate School of Management, Cornell University · 4 Department of Psychology, Cornell University

Abstract

Because trusting strangers can entail high risk, an ability to infer a potential partner's trustworthiness would be highly advantageous. To date, however, little evidence indicates that humans are able to accurately assess the cooperative intentions of novel partners by using nonverbal signals. In two studies involving human-human and human-robot interactions, we found that accuracy in judging the trustworthiness of novel partners is heightened through exposure to nonverbal cues and identified a specific set of cues that are predictive of economic behavior. Employing the precision offered by robotics technology to model and control humanlike movements, we demonstrated not only that experimental manipulation of the identified cues directly affects perceptions of trustworthiness and subsequent exchange behavior, but also that the human mind will utilize such cues to ascribe social intentions to technological entities.

DOI
10.1177/0956797612448793
Volume
23
Issue
12
Pages
1549-1556
Language
en
Sources
crossref openalex

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