IDEAS home Printed from https://ideas.repec.org/a/taf/servic/v43y2023i3-4p213-237.html
   My bibliography  Save this article

Anthropomorphize service robots: the role of human nature traits

Author

Listed:
  • Linxiang Lv
  • Minxue Huang
  • Ruyao Huang

Abstract

Empowered by artificial intelligence (AI), human-like service robots are prevalent, but they may have negative effects. Limited research has studied suitable strategies for anthropomorphizing service robots. In contrast to ordinary nonhuman objects, one of the robots’ most essential features is that they have logic and are rational when they are empowered by AI, yet such rationality may destroy consumers’ perceived identity uniqueness as human beings, eliciting bad outcomes. Therefore, we explore how to anthropomorphize service robots through maintaining consumers’ perceived identity uniqueness. Through four studies, we find that consumers’ attitudes about service robots will improve via a decreased identity threat if service robots are anthropomorphized with external human nature traits (that can be shared by animals) rather than uniquely human traits (that only humans have). In addition, this effect is mitigated by robots’ servant communication style. The results indicate what anthropomorphic type of service robot is suitable for managers.

Suggested Citation

  • Linxiang Lv & Minxue Huang & Ruyao Huang, 2023. "Anthropomorphize service robots: the role of human nature traits," The Service Industries Journal, Taylor & Francis Journals, vol. 43(3-4), pages 213-237, March.
  • Handle: RePEc:taf:servic:v:43:y:2023:i:3-4:p:213-237
    DOI: 10.1080/02642069.2022.2048821
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/02642069.2022.2048821
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/02642069.2022.2048821?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.

    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:servic:v:43:y:2023:i:3-4:p:213-237. 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/FSIJ20 .

    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.