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

Yuanyuan Zhou; Zhuoying Fei; Yuanqiong He; Zhilin Yang

doi:10.1007/s10551-022-05045-w

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

Yuanyuan Zhou
, Zhuoying Fei
, Yuanqiong He^*
, Zhilin Yang^*

^*Corresponding author for this work

College of Business

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

112 Citations (Scopus)

347 Downloads (CityUHK Scholars)

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.

Original language	English
Pages (from-to)	849–865
Journal	Journal of Business Ethics
Volume	178
Issue number	3
Online published	3 Feb 2022
DOIs	https://doi.org/10.1007/s10551-022-05045-w
Publication status	Published - Jul 2022

Funding

The authors gratefully acknowledge the Grants from National Natural Science Foundation of China (Project Nos. 71672069, 71972079, 71772074 and 72072152) and the Research Grant Council of Hong Kong SAR (CityU 11502218) for financial support.

Research Keywords

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

Publisher's Copyright Statement

COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/s10551-022-05045-w.

RGC Funding Information

RGC-funded

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10.1007/s10551-022-05045-w

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Cite this

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title = "How Human–Chatbot Interaction Impairs Charitable Giving: The Role of Moral Judgment",

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{\textquoteright} 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.",

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

author = "Yuanyuan Zhou and Zhuoying Fei and Yuanqiong He and Zhilin Yang",

year = "2022",

month = jul,

doi = "10.1007/s10551-022-05045-w",

language = "English",

volume = "178",

pages = "849–865",

journal = "Journal of Business Ethics",

issn = "0167-4544",

publisher = "Springer Netherlands",

number = "3",

}

TY - JOUR

T1 - How Human–Chatbot Interaction Impairs Charitable Giving

T2 - The Role of Moral Judgment

AU - Zhou, Yuanyuan

AU - Fei, Zhuoying

AU - He, Yuanqiong

AU - Yang, Zhilin

PY - 2022/7

Y1 - 2022/7

N2 - 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.

AB - 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.

KW - Artificial intelligence agents

KW - Charitable giving

KW - Communication style

KW - Human–chatbot interaction (HCI)

KW - Moral judgment

UR - https://www.scopus.com/pages/publications/85124228884

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85124228884&origin=recordpage

U2 - 10.1007/s10551-022-05045-w

DO - 10.1007/s10551-022-05045-w

M3 - RGC 21 - Publication in refereed journal

SN - 0167-4544

VL - 178

SP - 849

EP - 865

JO - Journal of Business Ethics

JF - Journal of Business Ethics

IS - 3

ER -

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

Abstract

Funding

Research Keywords

Publisher's Copyright Statement

RGC Funding Information

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NSFC-GP-SRI: 外部突发事件对本土企业及跨国公司的市场战略影响

GRF: Best of Both Worlds: The Role of Supplier Influence Strategies in Customer Adoption of Innovations

Cite this

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

Abstract

Funding

Research Keywords

Publisher's Copyright Statement

RGC Funding Information

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Projects

NSFC-GP-SRI: 外部突发事件对本土企业及跨国公司的市场战略影响

GRF: Best of Both Worlds: The Role of Supplier Influence Strategies in Customer Adoption of Innovations

Cite this