How human-chatbot interaction impairs charitable giving: the role of moral judgment

Interactions between human beings and chatbots are gradually becoming part of our everyday social lives. It is still unclear how human-chatbot interactions (HCIs), compared to human-human interactions (HHIs), influence individual morality. Building on the dual-process theory of moral judgment, a sec...

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Bibliographic Details
Authors: Zhou, Yuanyuan (Author) ; Fei, Zhuoying (Author) ; He, Yuanqiong (Author) ; Yang, Zhilin (Author)
Format: Electronic Article
Language:English
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Published: Springer Science + Business Media B. V 2022
In: Journal of business ethics
Year: 2022, Volume: 178, Issue: 3, Pages: 849-865
Further subjects:B Artificial intelligence agents
B Communication style
B Moral Judgment
B Aufsatz in Zeitschrift
B charitable giving
B Human-chatbot interaction (HCI)
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Summary:Interactions between human beings and chatbots are gradually becoming part of our everyday social lives. It is still unclear how human-chatbot interactions (HCIs), compared to human-human interactions (HHIs), influence individual morality. Building on the dual-process theory of moral judgment, a secondary data analysis (Study 1), and two scenario-based experiments (Studies 2 and 3) provide sufficient evidence that HCIs (vs. HHIs) support utilitarian judgments (vs. deontological judgments), which reduce participants' donation amount. Study 3 further demonstrates that the negative effects of HCIs can be attenuated by inducing a social-oriented (vs. task-oriented) communication style in chatbots’ verbal language designs. These findings highlight the negative impacts of HCIs on relationships among human beings and suggest a practical intervention for nonprofit organization managers.
ISSN:1573-0697
Contains:Enthalten in: Journal of business ethics
Persistent identifiers:DOI: 10.1007/s10551-022-05045-w