IDEAS home Printed from https://ideas.repec.org/a/taf/tbitxx/v42y2023i12p1998-2010.html
   My bibliography  Save this article

Effect of AI chatbot empathy and identity disclosure on willingness to donate: the mediation of humanness and social presence

Author

Listed:
  • Gain Park
  • Myungok Chris Yim
  • Jiyun Chung
  • Seyoung Lee

Abstract

This paper explores the effect of chatbot empathy and identity disclosure on willingness to donate (WTD) to a fundraising project and the psychological mechanism in the relationship. In a 3 (information-only vs. cognitive empathy vs. affective empathy) × 2 (chatbot vs. human identity) experiment, 496 US adults had a conversation about a fundraising event with one of six artificial intelligence-powered chatbots. The results revealed that neither chatbot empathy nor identity disclosure has a significant effect on WTD, rejecting the hypotheses. However, the data supported a significant interaction effect between chatbot empathy and identity disclosure on WTD. Moreover, the results suggested that the interaction effect between chatbot empathy and identity disclosure on WTD would be mediated through human likeness and social presence. This study suggests how empathy and human identity of chatbots should be applied with care to avoid the uncanny valley effect.

Suggested Citation

  • Gain Park & Myungok Chris Yim & Jiyun Chung & Seyoung Lee, 2023. "Effect of AI chatbot empathy and identity disclosure on willingness to donate: the mediation of humanness and social presence," Behaviour and Information Technology, Taylor & Francis Journals, vol. 42(12), pages 1998-2010, September.
    • Handle: RePEc:taf:tbitxx:v:42:y:2023:i:12:p:1998-2010
    DOI: 10.1080/0144929X.2022.2105746
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0144929X.2022.2105746
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/0144929X.2022.2105746?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kim, Woo Jin & Ryoo, Yuhosua & Kim, Eunjin Anna & Stafford, Marla, 2024. "Hero or Villain: The Paradox of AI Algorithmic Disclosure in Utilitarian Versus Deontological Ethics," 24th ITS Biennial Conference, Seoul 2024. New bottles for new wine: digital transformation demands new policies and strategies 302483, International Telecommunications Society (ITS).
    2. Park, Gain & Park, YounJung & Lee, Seyoung, 2024. "Compliance-gaining in metaverse: A moderated parallel mediation model testing the interaction between legitimization of paltry favors technique and victim identification," Technological Forecasting and Social Change, Elsevier, vol. 203(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:tbitxx:v:42:y:2023:i:12:p:1998-2010. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tbit .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.