Economic exchange often pits options for selfish and cooperative benefit against one another. Decisions favoring communal profit at the expense of self-interest have traditionally been thought to stem from strategic control aimed at tamping down emotional responses centered on immediate resource acquisition. In the present article, evidence is provided to argue against this limited view of the role played by emotion in shaping prosociality. Findings demonstrate that the social emotion gratitude functions to engender cooperative economic exchange even at the expense of greater individual financial gains. Using real-time inductions, increased gratitude is shown to directly mediate increased monetary giving within the context of an economic game, even where such giving increases communal profit at the expense of individual gains. Moreover, increased giving occurred regardless of whether the beneficiary was a known individual or complete stranger, thereby removing the possibility that it stemmed from simple awareness of reciprocity constraints.

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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.