A home health management app designed in the post-epidemic era using empirical evidence based on the demand collection of elderly users

Chengmin Zhou (), Jingyi Guo, Yurong Zhang, Ting Huang and Jake Kaner
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Chengmin Zhou: Nanjing Forestry University
Jingyi Guo: Nanjing Forestry University
Yurong Zhang: Nanjing Forestry University
Ting Huang: Nanjing Forestry University
Jake Kaner: Nottingham Trent University

Palgrave Communications, 2024, vol. 11, issue 1, 1-13

Abstract: Abstract In the context of the epidemic, the daily routines of China’s elderly populace underwent substantial transformations. The implementation of home-based pandemic containment strategies led to heightened levels of social isolation and loneliness, exerting a discernible influence on the subjective well-being of this demographic. Consequently, residing in retirement apartments has emerged as a more advantageous alternative for elderly individuals capable of self-care. To meet their life and emotional needs and improve their sense of well-being, we used the KANO model to design a health management app for the self-care of older persons. We summarised the functional requirements for the self-care of elderly people, distributed questionnaires to generate a list of requirements, and conducted data analysis. We optimised the low-fidelity prototype based on the usability test results combined with relevant interface design elements to implement emotional interaction design practices for older persons’ self-care. Furthermore, we completed a design evaluation and program optimisation of the design practice to guide the final visual design. The research findings identify the core principles of interactive design for elderly users to enable visual design specifications for improving the lives of the elderly population. This research highlights the need to design more appropriate products that meet demographic characteristics. This work contributes to strengthening the connection between elderly people and society while bridging the ‘digital divide’ based on this population’s cautious approach to technologies and declining abilities to learn.

Date: 2024
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DOI: 10.1057/s41599-024-03042-0

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