IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i19p14252-d1248456.html
   My bibliography  Save this article

User Interface Characteristics Influencing Medical Self-Service Terminals Behavioral Intention and Acceptance by Chinese Elderly: An Empirical Examination Based on an Extended UTAUT Model

Author

Listed:
  • Qun Wu

    (Institute of Universal Design, Zhejiang Sci-Tech University, Hangzhou 310018, China
    Zhejiang Fashion Design and Manufacturing Collaborative Innovation Center, Hangzhou 310018, China)

  • Lan Huang

    (Institute of Universal Design, Zhejiang Sci-Tech University, Hangzhou 310018, China)

  • Jiecong Zong

    (Institute of Universal Design, Zhejiang Sci-Tech University, Hangzhou 310018, China)

Abstract

Medical self-service terminals (MSTs) offer potential advantages for optimizing workflows and enhancing patient experience in hospitals, particularly for the elderly. Despite this, the uptake of MSTs among older adults in China remains a challenge. This research aims to identify the key factors influencing behavioral intention (BI) to adopt MSTs in this age group, with a particular emphasis on user interface (UI) attributes. We extend the Unified Technology Acceptance and Use Theory (UTAUT) model to include these UI elements. Our empirical analysis examines seven variables, which include three critical UI attributes and four core UTAUT elements. The results highlight the importance of performance expectancy (β = 0.40, p < 0.001), effort expectancy (β = 0.50, p < 0.001), and social influence (β = 0.25, p < 0.05) in shaping BI. Importantly, the design of the user interface shows a strong positive correlation with both performance expectancy (β = 0.89, p < 0.001) and effort expectancy (β = 0.81, p < 0.001). These findings illuminate the complex relationship between objective UI features and subjective UTAUT factors. Our study enriches the understanding of how UI design affects the willingness and acceptance of MSTs, especially among China’s elderly population, emphasizing the need to incorporate their viewpoints for successful technology integration in healthcare.

Suggested Citation

  • Qun Wu & Lan Huang & Jiecong Zong, 2023. "User Interface Characteristics Influencing Medical Self-Service Terminals Behavioral Intention and Acceptance by Chinese Elderly: An Empirical Examination Based on an Extended UTAUT Model," Sustainability, MDPI, vol. 15(19), pages 1-12, September.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:19:p:14252-:d:1248456
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/19/14252/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/19/14252/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cheng-Chia Yang & Cheng-Lun Li & Te-Feng Yeh & Yu-Chia Chang, 2022. "Assessing Older Adults’ Intentions to Use a Smartphone: Using the Meta–Unified Theory of the Acceptance and Use of Technology," IJERPH, MDPI, vol. 19(9), pages 1-14, April.
    2. Liang Zhu & Mohd Heikal Husin, 2022. "A Proposed Metrics Based on Sustainable Development Goals (SDGs) for Public Self-Service Machines," Sustainability, MDPI, vol. 15(1), pages 1-14, December.
    3. Chengmin Zhou & Fangfang Yuan & Ting Huang & Yurong Zhang & Jake Kaner, 2022. "The Impact of Interface Design Element Features on Task Performance in Older Adults: Evidence from Eye-Tracking and EEG Signals," IJERPH, MDPI, vol. 19(15), pages 1-24, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mengting Cheng & Xianmiao Li & Jicheng Xu, 2022. "Promoting Healthcare Workers’ Adoption Intention of Artificial-Intelligence-Assisted Diagnosis and Treatment: The Chain Mediation of Social Influence and Human–Computer Trust," IJERPH, MDPI, vol. 19(20), pages 1-19, October.
    2. Ting Zhang & Rosalam Che Me & Hassan Alli, 2023. "The Usability Issues Encountered in the Design Features of Intelligent Products for Older Adults in China: A Scoping Review," Sustainability, MDPI, vol. 15(5), pages 1-23, March.

    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:gam:jsusta:v:15:y:2023:i:19:p:14252-:d:1248456. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.