In bot we trust? Personality traits and reciprocity in human-bot trust games

Upadhyaya, Nitish and Galizzi, Matteo M. (2023) In bot we trust? Personality traits and reciprocity in human-bot trust games. Frontiers in Behavioral Economics. ISSN 2813-5296

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Abstract

People are increasingly interacting with forms of artificial intelligence (AI). It is crucial to understand whether accepted evidence for human-human reciprocity holds true for human-bot interactions. In a pre-registered online experiment (N = 539) we first replicate recent studies, finding that the identity of a player's counterpart in a one-shot binary Trust Game has a significant effect on the rate of reciprocity, with bot counterparts receiving lower levels of returned amounts than human counterparts. We then explore whether individual differences in a player's personality traits—in particular Agreeableness, Extraversion, Honesty-Humility and Openness—moderate the effect of the identity of the player's counterpart on the rate of reciprocity. In line with literature on human-human interactions, participants exhibiting higher levels of Honesty-Humility, and to a lesser extent Agreeableness, are found to reciprocate more, regardless of the identity of their counterpart. No personality trait, however, moderates the effect of interacting with a bot. Finally, we consider whether general attitudes to AI affect the reciprocity but find no significant relationship.

Item Type:	Article
Additional Information:	© 2023 The Author(s)
Divisions:	Psychological and Behavioural Science
Subjects:	B Philosophy. Psychology. Religion > BF Psychology H Social Sciences Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Date Deposited:	18 Aug 2023 15:21
Last Modified:	15 Sep 2023 17:40
URI:	http://eprints.lse.ac.uk/id/eprint/120021

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