Smiling AI agents: How anthropomorphism and broad smiles increase charitable giving

Улыбающиеся агенты ИИ: как антропоморфизм и широкие улыбки повышают благотворительные пожертвования
Tae Hyun Baek, Marat Bakpayev, Sukki Yoon, Seeun Kim
2021-12-13

anthropomorphismcharitable givinghumanlike vs machinelike AI agentspsychological closenesssmiling AI agents
Anthropomorphism and construal level theories provide the bases for two studies showing that when nonprofit charity marketers design artificial intelligence (AI) agents to resemble humans and to smile like humans, potential donors feel greater psychological closeness to the agents and are motivated to increase charitable giving. Study 1 demonstrates that participants feel greater psychological closeness and willingness to donate in response to appeals from smiling AI agents that look like humans rather than like robots. Study 2 demonstrates that participants tend to donate more in reaction to appeals from humanlike (vs. machinelike) AI agents that smile broadly rather than slightly or not at all. The article concludes with a discussion of theoretical insights and practical implications for using AI representatives in nonprofit charity appeals.
1
Anthropomorphism (humanlike appearance) and smiling increase donor motivation by increasing psychological closeness to AI agents.
2
Broad smiles on humanlike AI agents lead to higher donation amounts than slight smiles or no smiles.
3
Participants reported higher willingness to donate in response to appeals from smiling humanlike AI agents compared to robotlike AI agents.
4
Smiling AI agents that resemble humans elicit greater psychological closeness from potential donors than AI agents that look like robots.

Artificial intelligence (AI) agents used as nonprofit charity representatives

Effect of anthropomorphism (humanlike appearance) and smile intensity (broad vs. slight vs. none) on donors' psychological closeness and charitable giving

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Publication Date
2021-12-13
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Authors
Tae Hyun Baek
Marat Bakpayev
Sukki Yoon
Seeun Kim
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