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Medientyp:
E-Artikel
Titel:
In bot we trust? Personality traits and reciprocity in human-bot trust games
Beteiligte:
Upadhyaya, Nitish;
Galizzi, Matteo M.
Erschienen:
Frontiers Media SA, 2023
Erschienen in:
Frontiers in Behavioral Economics, 2 (2023)
Sprache:
Nicht zu entscheiden
DOI:
10.3389/frbhe.2023.1164259
ISSN:
2813-5296
Entstehung:
Anmerkungen:
Beschreibung:
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.