Literature Reviews
Reviewed research papers, articles, and publications relevant to digital accessibility.
139 results found tagged older adults.
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Collaborative AI Scaffolding for Structured Drawing in Dementia Care: A Feasibility Study
This CHI 2026 Extended Abstract reports a one-on-one feasibility study of a tablet-based AI drawing tool for older adults with dementia, conducted at a day-care centre in Taiwan. The system pairs a Google Gemini vision-language model (VLM) with Azure…
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Look Here, Click Me: Improving Older Adults’ Perception of Manipulable User Interface Components through AI-Based Perceptual Guidance
This CHI 2026 Extended Abstracts paper from Sookmyung Women’s University (Seoul) tackles a concrete gap in older-adult digital literacy: existing programs teach step-by-step procedures ("tap here, then here, then here") that collapse the moment an ap…
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From Barriers to Blueprints: A Critical Systematic Review of Older Adults and Social VR
Conte, Munteanu, and Sapkota conduct a critical systematic review of 85 HCI papers (2017-2024) on older adults and social VR, arguing that the dominant narrative — which frames older adults as deficient users who struggle to adopt VR — is itself a pr…
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GuideMe: A VLM-Based System Assisting Independent Smartphone Learning for Older Adults
GuideMe tackles a problem familiar to anyone who has watched an older relative struggle to learn a new smartphone app: the combined weight of declining vision, memory, and motor function plus unfamiliar terminology makes independent learning extremel…
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From Performers to Creators: Understanding Retired Women's Perceptions of Technology-Enhanced Dance Performance
Zheng and colleagues study how interactive-dance and generative-AI technologies can be designed around the needs of retired women dancers in China — a population estimated at over 100 million, for whom community dance is a major post-retirement pract…
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Harmonizing the Senses: Designing a Cross-Modal Interactive Art System to Enhance Older Adults' Affective Experiences
This CHI 2026 paper investigates how cross-modal correspondence and congruency across visual, auditory, and kinetic modalities shape older adults' affective experiences in digital art systems, and how an AI-infused drawing mode can scaffold those exp…
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Remembering with Reminiscope: Codesigning with Generative AI for Reminiscence Among Older Adults
This CHI 2026 paper presents two linked studies investigating how generative AI can support reminiscence among older adults, both individually and in group settings. In Study 1, the authors conducted individual co-design sessions with 16 residents of…
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Looking Beyond the Screen to Study the Technology Use of Older People Experiencing Cognitive Concerns
This CHI 2026 paper is a week-long qualitative study of how ten older adults with cognitive concerns — nine with Subjective Cognitive Decline (SCD) and one with Mild Cognitive Impairment (MCI), ages 50s–80s, six Mandarin-speaking — use videoconferenc…
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Co-designing MESA-Bot: Enhancing Accessibility, Privacy, Security, and Trust in a Mental Health Chatbot for Older Adults
Surani and Das address the gap between accessibility design and privacy-and-security engineering in mental health chatbots for older adults, a population nearly a billion strong worldwide for whom cost, stigma, wait times, and digital-literacy barrie…
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Toward Integrating AI Chat and Search: A User-Centered Perspective across Age Groups
This paper investigates how younger adults (25 participants, mean age 27) and older adults (22 participants, mean age 56) use AI chat (ChatGPT) and traditional search (Google Search) together to retrieve information. The research is framed around Vis…