IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v213y2025ics0040162525000356.html
   My bibliography  Save this article

Deploying artificial intelligence for healthcare: An empirical study on the patients' usage of health care service and AI's anthropomorphic structure form

Author

Listed:
  • Moriuchi, Emi

Abstract

Healthcare services have been intrinsically linked with the technology at our disposal for the past several decades. Novel technologies such as the AI avatar can help us better bridge the gap between the demand for mental health therapy and the unprecedented opportunities to improve people with mental health outcomes. Study 1 showed that trust mediates between anthropomorphism and intention to use AI avatar therapy. In Study 2, patients' self-disclosure interacts with the anthropomorphism of the avatar and affects their trust toward the AI avatars for their therapy. Study 3 results indicated that the interaction effect between the structural form of the avatar and the user's perceived anthropomorphism of the avatar affects the user's intention to use the avatar for therapy. These findings contribute to automation and medical decision-making psychology and suggest interventions to increase patient acceptance of AI avatar therapy in mental healthcare.

Suggested Citation

  • Moriuchi, Emi, 2025. "Deploying artificial intelligence for healthcare: An empirical study on the patients' usage of health care service and AI's anthropomorphic structure form," Technological Forecasting and Social Change, Elsevier, vol. 213(C).
    • Handle: RePEc:eee:tefoso:v:213:y:2025:i:c:s0040162525000356
    DOI: 10.1016/j.techfore.2025.124004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162525000356
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2025.124004?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.

    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:tefoso:v:213:y:2025:i:c:s0040162525000356. 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: http://www.sciencedirect.com/science/journal/00401625 .

    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.