IDEAS home Printed from https://ideas.repec.org/a/eee/teinso/v83y2025ics0160791x25002052.html
   My bibliography  Save this article

The psychological mechanism of value co-creation with human-centred generative AI robot assistants

Author

Listed:
  • Li, Zhaotong
  • Yuen, Kum Fai
  • Teo, Chee-Chong

Abstract

Human-Generative Artificial Intelligence (GAI) interactions are receiving increasing attention in both society and academia, and GAI integration makes robot assistants more human-centred to better serve consumers. Understanding the value co-creation process between human consumers and GAI robot assistants is critical for the broader adoption of such technologies. This study seeks to investigate the psychological mechanisms and antecedent factors that underlie the human–AI value co-creation process, which has received limited attention in the literature. Accordingly, a theoretical model based on the Autonomy Competence Relatedness (ACR) model and Mind Perception Theory (MPT) is developed to examine the technological features and psychological factors that promote value co-creation. A survey was conducted in Singapore and collected 607 responses, which were analysed through covariance-based structural equation modelling. Survey results reveal that GAI robot assistant features (i.e., sensing autonomy, thought autonomy, action autonomy, personalisation, anthropomorphism, and interactivity) positively impact value co-creation through the mediation of consumers' psychological motivations, including perceived autonomy, competence, warmth, and relatedness satisfactions. By extending the ACR model with MPT, this study enhances the literature on human-GAI interactions, offering a novel understanding of the psychological factors driving value co-creation in human-centred GAI applications.

Suggested Citation

  • Li, Zhaotong & Yuen, Kum Fai & Teo, Chee-Chong, 2025. "The psychological mechanism of value co-creation with human-centred generative AI robot assistants," Technology in Society, Elsevier, vol. 83(C).
  • Handle: RePEc:eee:teinso:v:83:y:2025:i:c:s0160791x25002052
    DOI: 10.1016/j.techsoc.2025.103015
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160791X25002052
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techsoc.2025.103015?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:eee:teinso:v:83:y:2025:i:c:s0160791x25002052. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/technology-in-society .

    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.