How Human–Chatbot Interaction Impairs Charitable Giving : The Role of Moral Judgment

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

41 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)849–865
Journal / PublicationJournal of Business Ethics
Volume178
Issue number3
Online published3 Feb 2022
Publication statusPublished - Jul 2022

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Abstract

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.

Research Area(s)

  • Artificial intelligence agents, Charitable giving, Communication style, Human–chatbot interaction (HCI), Moral judgment

Citation Format(s)

How Human–Chatbot Interaction Impairs Charitable Giving: The Role of Moral Judgment. / Zhou, Yuanyuan; Fei, Zhuoying; He, Yuanqiong et al.
In: Journal of Business Ethics, Vol. 178, No. 3, 07.2022, p. 849–865.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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