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• Understanding Nature Engagement Experiences of Blind People

  Mengjie Tang, Xinman Li, Juxiao Zhang, Franklin Mingzhe Li, Zhuying Li · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This mixed-methods study investigates how blind people in mainland China experience and relate to natural environments, a domain the authors argue has been almost entirely overlooked by Human-Nature Interaction (HNI) research and by accessibility tooling, which has focused…

  nature engagement · blind and low vision · human-nature interaction · multisensory · wellbeing

• Supporting Money Management among Adults with Down Syndrome: A Multi-Technology Probe Study

  Hailey L. Johnson, Heidi Spalitta, Callie Y. Kim, Bilge Mutlu · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Johnson, Spalitta, Kim, and Mutlu designed three cash-based budgeting technology probes for adults with Down syndrome (AwDS) and ran a comparative usage study with seven participants aged 19-39. The work is motivated by a gap between special-education financial curricula (which…

  Down syndrome · intellectual disability · assistive technology · financial accessibility · augmented reality

• Accuracy as Autonomy: How Reliable Information Enables Choice in Wheelchair-Accessible Taxi Services

  Hyunseon Won, Seoyoung Park, Sejung Son, Taenyun Kim, Jinyoung Han · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26)

  Won and colleagues (Sungkyunkwan University and Michigan State) investigate how the accuracy of AI-predicted information in accessibility-oriented services affects users' psychological needs and technology acceptance, using Seoul's Wheelchair-Accessible Taxi (WAT) service as a…

  transportation accessibility · wheelchair users · paratransit · self-determination · autonomy

• Investigating the Role of Agentic AI in Facilitating Travel Planning for People with Low Vision

  Ranran Ding, Maryam Bandukda · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  This CHI 2026 Extended Abstract examines a stage of accessible travel that most assistive-technology research has overlooked: the pre-trip planning work people with low vision (PLV) do before ever leaving the house. The authors argue that most existing tools — navigation apps,…

  low vision · wayfinding · agentic AI · large language models · conversational agents

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