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Older adults’ participation and experiences in design thinking for AI-driven assistive technology: a scoping review

delete2026-08-10
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OA
AI
D
Dhika Dharmansyah *
L
Laili Rahayuwati
I
Iqbal Pramukti
K
Kuswandewi Mutyara
DOI:10.1186/s12877-026-08096-0delete
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Abstract

Abstract

En 中文
Population ageing and the rapid integration of artificial intelligence (AI) into assistive technologies have created a need to engage older adults as active partners in technology design. AI-driven assistive technologies are frequently developed with limited older-adult involvement, a pattern associated with low adoption, poor fit with daily routines, and the reinforcement of ageist assumptions about older adults as passive recipients of care. Design thinking (DT)—an empathy-driven, iterative, human-centred methodology—offers a structured framework for engaging older adults as co-designers. To date, no scoping review has mapped how older adults participate in DT processes for AI-driven assistive technology, or the ethical and experiential dimensions of that participation. This scoping review followed Arksey and O’Malley’s five-stage framework with Levac et al. refinements and was reported in accordance with the PRISMA extension for Scoping Reviews (PRISMA-ScR). The protocol was prospectively registered on the Open Science Framework (https://doi.org/10.17605/OSF.IO/8W2S5). Systematic searches across Web of Science, IEEE Xplore, Scopus, and PubMed/MEDLINE (10–16 March 2026; updated 20 June 2026) identified 176 records. Following deduplication (n = 146) and two-stage independent screening, 15 studies were included. Data were charted in duplicate using a piloted extraction form extended with experiential and ethical dimensions, appraised descriptively (JBI; MMAT), and synthesised through inductive thematic synthesis. The 15 included studies (2015–2025) spanned seven countries and a range of AI-driven assistive technologies, including large language model (LLM)-based conversational agents and companion robots, smart-home sensing and fall-detection systems, embodied conversational agents, and AI-enabled wearables. Thematic synthesis generated four analytical themes: (1) uneven participation across the DT cycle, concentrated in the empathise and test phases; (2) facilitators and barriers to meaningful participation; (3) a continuum of agency from tokenistic consultation to genuine co-design; and (4) structural and ethical conditions shaping inclusion. Evidence gaps were most pronounced for older adults with cognitive impairment and for older adults in low- and middle-income countries (LMICs). Meaningful participation of older adults in DT for AI-driven assistive technology is methodologically and ethically important for producing acceptable, usable, and contextually appropriate technology. This evidence map offers guidance for geriatric researchers, clinicians, digital-health implementers, and policymakers committed to inclusive co-design with older adults, and identifies priority gaps for future primary research. Open Science Framework https://doi.org/10.17605/OSF.IO/8W2S5
Keywords:
Older adults
Design thinking
Assistive technology
Artificial intelligence
Co-design
participatory research
Healthy ageing
Digital health
Ageing in place
Scoping review

Journal

BMC Geriatrics cover
BMC Geriatrics
IF:
3.8
Papers:
7.9K
Citations:
2.4W

Organization

D
Department of Community Health Nursing
Scholars:
26
Papers: 22
Citations: 0
D
Department of Public Health
Scholars:
392
Papers: 208
Citations: 15
F
faculty of medicine
Scholars:
6.0K
Papers: 2.1K
Citations: 0
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