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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

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  • 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
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    References listed on IDEAS

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    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.
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