Sep 2026· Human Factors· pp.
187208261490714
· 0 citations· 82 references
Medicine
TL;DR
A set of actionable design recommendations was proposed to improve AI-powered technologies for older adults and highlighted older adults' concerns related to usability, personalization, privacy, and explainability of these technologies.
Abstract
ObjectiveTo identify the needs of older adults when interacting with artificial intelligence (AI) technologies, and to propose design recommendations that can inform the development of future AI systems.BackgroundAI technologies are increasingly integrated into healthcare, education, and social applications for older adults. However, many AI systems fail to account for age-related cognitive, perceptual, and emotional changes, resulting in usability barriers, low trust, and limited adoption.MethodA systematic review of 93 studies categorized by application area identified challenges and user needs through thematic analysis, leading to proposed design recommendations. Two AI-powered platforms were then benchmarked against these design recommendations to assess their suitability for older adults.ResultsFindings highlighted older adults' concerns related to usability, personalization, privacy, and explainability of these technologies. Older adults preferred systems that respect human autonomy, adapt to user context and emotions, and offer clear, trustworthy explanations. A set of actionable design recommendations was proposed to improve AI-powered technologies for older adults. Analysis of two selected AI platforms suggested that these systems only partially aligned with the proposed recommendations.ConclusionThis study offers a set of design recommendations that can support the development of AI tools attuned to older adults' needs.ApplicationThis review identifies critical design gaps and offers actionable design recommendations. Findings can inform future participatory, interdisciplinary efforts in age-inclusive AI development.
BACKGROUND
Population aging is leading to increased demand for health and long-term care. AI-based assistive technologies have been developed to support autonomy and care for older adults, yet real‑world adoption remains limited. We review evidence on acceptance and determinants of acceptance of AI‑based assistive tech...
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RecallLive was perceived as usable, engaging, and useful, with perceived usefulness strongly associated with adoption intention, and emotional relevance shaped engagement, particularly among participants with caregiving experience or personal connections to dementia.
As the population of older adults grows, home robots may help address daily living challenges associated with mobility, cognitive change, health management, and social isolation. This study examined deployment requirements for assistive home robots from a human factors and ergonomics perspective by evaluating the Stret...
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