Reviews

Search results

• Improving Low-Vision Chart Accessibility via On-Cursor Visual Context

  Yotam Sechayk, Hennes Rave, Max Rädler, Mark Colley, Zhongyi Zhou, Ariel Shamir, Takeo Igarashi · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Charts remain largely inaccessible to Low-Vision Individuals (LVI) because reading them requires holding both fine-grained data details and the broader visual context — axes, legend, grid lines, overview — in view at the same time, a task that magnification and restricted fields…

  low vision · data visualization · chart accessibility · assistive technology · screen magnification

• Not Seeing the Whole Picture: Challenges and Opportunities in Using AI for Co-Making Physical, DIY-AT for People with Visual Impairments

  Ben Kosa, Hsuanling Lee, Jasmine Li, Sanbrita Mondal, Yuhang Zhao, Liang He · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper explores whether an LLM-based conversational agent can act as a co-making partner — not just a visual aid — when people with visual impairments (PVI) build their own physical assistive technology. The authors extended their prior A11yBits tangible toolkit…

  blindness · low vision · DIY assistive technology · tangible interaction · Generative AI

• Toward Independent Online Shopping of the Visually Impaired Through Voice-based Computer-Using Agent

  Subin Shin, Jeesun Oh, Suhyun Kim, Seoyeon Eom, Sangwon Lee · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper investigates how visually impaired users might shop online independently by interacting with a voice-based Computer-Using Agent (CUA) — an AI agent built on a Large Multimodal Model (LMM) that can perceive a screen, reason about its contents, and manipulate a…

  visual impairment · blindness · low vision · voice interface · conversational user interfaces

• 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

4 results.