User Experience of Older People While Using Digital Health Technologies: A Systematic Review

Author:

Takano Eiko1,Maruyama Hisataka2,Takahashi Tetsuta3,Mori Kouki2,Nishiyori Kota3,Morita Yoshifumi3,Fukuda Toshio4,Kondo Izumi1ORCID,Ishibashi Yutaka3

Affiliation:

1. Assistive Robotics Center, National Center for Geriatrics and Gerontology, Obu 474-8511, Japan

2. Department of Micro Nano Mechanical Science and Engineering, Nagoya University, Nagoya 464-8603, Japan

3. Graduate School of Engineering, Nagoya Institute of Technology, Nagoya 466-8555, Japan

4. Institutes of Innovation for Future Society, Nagoya University, Nagoya 464-8603, Japan

Abstract

Digital technologies ranging from biosensors to virtual reality have revolutionized the healthcare landscape by offering innovations that hold great promise in addressing the challenges posed by rapidly aging populations. To optimize healthcare experiences for older people, it is crucial to understand their user experience (UX) with digital health technologies. This systematic review, covering articles published from 2013 to 2023, aimed to explore frequently used questionnaires for assessing digital healthcare UX among older people. The inclusion criteria were original studies assessing UX in digital health for individuals aged ≥65 years. Of 184 articles identified, 17 were selected after rigorous screening. The questionnaires used included the System Usability Scale (SUS), the User Experience Questionnaire (UEQ), and the Post-Study System Usability Questionnaire. Customized questionnaires based on models such as the Technology Acceptance Model and the Almere model were developed in some studies. Owing to its simplicity and effectiveness in assessing digital health UX among older people, the SUS emerged as the go-to tool (52.9%). Combining the SUS with the UEQ provided comprehensive insights into UX. Specialized questionnaires were also used, but further research is needed to validate and adapt these tools for diverse cultural contexts and evolving technologies.

Funder

Knowledge Hub Aichi

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

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