IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v11y2024i1d10.1057_s41599-024-04232-6.html
   My bibliography  Save this article

How to improve older adults’ trust and intentions to use virtual health agents: an extended technology acceptance model

Author

Listed:
  • Guanhua Hou

    (Guangzhou University
    Ningbo University)

  • Xinran Li

    (Ningbo University)

  • Huiwen Wang

    (Guangzhou University)

Abstract

Previous studies have examined the influence of usability, ease of use, and usefulness on enhancing older adults’ intentions to use virtual agents. However, they have overlooked the impact of doctor-patient relationships. To explore how to improve older adults’ trust and usage intentions, this study expanded Technology Acceptance Model with perceived medical narrativity, medical presence, subjective norms. Data from 230 older adults were collected through online and offline surveys. Structural equation modeling results revealed that perceived ease of use is influenced by subjective norms and perceived medical narrativity. Subjective norms influenced older adults’ medical presence, but perceived medical narrativity did not have the same effect. Medical presence is positively related to older adults’ trust, thus influencing their usage intentions. Perceived usefulness directly influences intention to use, while perceived ease of use influences intention through the mediation of trust and perceived usefulness. This study combines doctor-patient relationships factors with technology perception factors, contributing to the exploration of how social factors can be integrated into technology use.

Suggested Citation

  • Guanhua Hou & Xinran Li & Huiwen Wang, 2024. "How to improve older adults’ trust and intentions to use virtual health agents: an extended technology acceptance model," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.
  • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-04232-6
    DOI: 10.1057/s41599-024-04232-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-024-04232-6
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/s41599-024-04232-6?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:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-04232-6. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.com/ .

    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.