User Experience Design and Improvement Strategies for Chronic Disease Management Digital Healthcare Applications for Older Adults
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Increasing life expectancy and the rapid shift toward an aging society have made chronic disease management among older adults a critical social issue. This study aimed to enhance the accessibility and usability of digital healthcare applications by designing user experiences (UX) tailored to the physical, cognitive, and perceptual characteristics of older adult users. The analysis of existing applications identified key improvements, including simplified login, larger icons and text, intuitive interfaces, personalized notifications, and voice support. Reward systems and family engagement features are vital for promoting sustained usage. These find ings provide practical guidelines for designing older-adult-friendly digital healthcare applications that enable the self-management of chronic conditions and support healthy aging. Many previous studies lack com prehensive discussions of UX design principles that integrate the physical, cognitive, and perceptual characteristics of older adults. Although there is ongoing research on reward systems, user-friendly interfaces, and data visualization tools to encourage the continued use of digital healthcare applications, holistic design guidelines specifically tailored for older adults remain insufficient. This study addresses these gaps in the literature. This study contributes to improving the quality of life of older adult users and reducing societal healthcare costs by fostering a more inclusive digital healthcare environment.
Abstract
Increasing life expectancy and the rapid shift toward an aging society have made chronic disease management among older adults a critical social issue. This study aimed to enhance the accessibility and usability of digital healthcare applications by designing user experiences (UX) tailored to the physical, cognitive, and perceptual characteristics of older adult users. The analysis of existing applications identified key improvements, including simplified login, larger icons and text, intuitive interfaces, personalized notifications, and voice support. Reward systems and family engagement features are vital for promoting sustained usage. These find ings provide practical guidelines for designing older-adult-friendly digital healthcare applications that enable the self-management of chronic conditions and support healthy aging. Many previous studies lack com prehensive discussions of UX design principles that integrate the physical, cognitive, and perceptual characteristics of older adults. Although there is ongoing research on reward systems, user-friendly interfaces, and data visualization tools to encourage the continued use of digital healthcare applications, holistic design guidelines specifically tailored for older adults remain insufficient. This study addresses these gaps in the literature. This study contributes to improving the quality of life of older adult users and reducing societal healthcare costs by fostering a more inclusive digital healthcare environment.
참고문헌 (11)
- Almalki, M., "Delivering digital healthcare for elderly : A holistic framework for the adoption of ambient assisted living", International Journal of Environmental Research and Public Health, 19(24), pp.16760~ (2022)[DOI]
- Buzina, M., "Digital solutions in elderly healthcare : A literature review and research agenda", IFAC PapersOnLine, 58(3), pp.232~237 (2024)[DOI]
- Charness, N., "Human factors and aging : A perspective on interface design", Cognitive Science and Human Factors, 36, pp.1~22 (1990)
- Craik, F. I. M., "The handbook of aging and cognition" (2008), Taylor & Francis
- Czaja, S. J., "Factors predicting the use of technology : Findings from the Center for Research and Education on Aging and Technology Enhancement(CREATE)", Psychology and Aging, 21(2), pp.333~352 (2006)
- Gordon-Salant, S., "Hearing loss and aging : New research findings and clinical implications", Journal of Rehabilitation Research & Development, 42(4), pp.9~24 (2005)
- Mitzner, T. L., "Older adults talk technology : Technology usage and attitudes", Computers in Human Behavior, 26(6), pp.1710~1721 (2010)
- Nikou, S., "Digital healthcare technology adoption by elderly people: A capability approach model", Telematics and Informatics, 53 (2019)[DOI]
- Owsley, C., "Aging and vision", Vision Research, 51(13), pp.1610~1622 (2011)
- Paiva, J. O. V., "Mobile applications for elderly healthcare: A systematic mapping", PLOS ONE, 15(7), pp.e0236091~ (2020)[DOI]
- Verhaeghen, P., "Meta-analyses of age-cognition relations in adulthood : Estimates of linear and nonlinear age effects and structural models", Psychological Bulletin, 122(3), pp.231~249 (1997)
