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• GuideMe: A VLM-Based System Assisting Independent Smartphone Learning for Older Adults

  Kairong Fang, Jiesi Zhang, Shi-Ting Ni, Pan Hui, Yuyang Wang · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  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 extremely difficult, while in-person…

  older adults · aging · cognitive accessibility · vision-language model · conversational agent

• AI That Moves With You: A Review of Interactive Technologies Powered by Large Foundation Models for Mobility Impairment

  Duosi Dai, Yuchong Zhang, Yong Ma, Danica Kragic · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This paper is a scoping review (PRISMA-ScR) of how large foundation models - LLMs, large vision models, and vision-language models - are being woven into interactive assistive technologies for people with mobility impairments, covering publications from January 2020 to May 2025.…

  foundation model · large language model · vision-language model · literature review · scoping review

• Collaborative AI Scaffolding for Structured Drawing in Dementia Care: A Feasibility Study

  Hui-Lien Huang, I-Ping Chen · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  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 text-to-speech to deliver…

  dementia · older adults · human-AI collaboration · human-in-the-loop · vision-language model

• VizXpress: Towards Expressive Visual Content by Blind Creators Through AI Support

  Lotus Zhang, Zhuohao (Jerry) Zhang, Gina Clepper, Franklin Mingzhe Li, Patrick Carrington, Jacob O. Wobbrock, Leah Findlater · 2025 · ASSETS 2025: 27th International ACM SIGACCESS Conference on Computers and Accessibility

  This paper investigates how blind individuals engage with and desire to create expressive visual content — moving beyond the functional accessibility tasks (like privacy preservation or layout correction) that prior research has focused on. The authors conducted a two-stage…

  blindness · visual expression · creativity support · AI accessibility · image editing

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