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• Probing the Gaps in ChatGPT's Live Video Chat for Real-World Assistance for People who are Blind or Visually Impaired

  Ruei-Che Chang, Rosiana Natalie, Wenqian Xu, Jovan Zheng Feng Yap, Anhong Guo · 2025 · ASSETS 2025: 27th International ACM SIGACCESS Conference on Computers and Accessibility

  This paper evaluates ChatGPT's Advanced Voice with Video feature — OpenAI's state-of-the-art live video AI released in December 2024 — as a real-world assistive tool for blind and visually impaired (BVI) individuals. The researchers conducted an in-person exploratory study with…

  blind · visually impaired · large multimodal models · live video · ChatGPT

• Check Now, Can You See It?: Exploring Voice and Video-Capable Language Models for Identifying and Spatially Locating Items of Interest for Blind and Low-Vision Travelers

  Aziz N Zeidieh, JooYoung Seo · 2025 · ASSETS 2025: 27th International ACM SIGACCESS Conference on Computers and Accessibility

  This experience report documents the lived experiences of two blind travelers — Aziz (28, blind in left eye, 20/2200 in right) and JooYoung (35, blind in right eye, limited vision in left) — as they adapted commercially available voice and video-capable language models (VVLMs)…

  artificial intelligence · navigation · blindness and visual impairment · multimodal AI · large language models

• How Can Haptic Feedback Assist People with Blind and Low Vision (BLV): A Systematic Literature Review

  Chutian Jiang, Emily Kuang, Mingming Fan · 2025 · ACM Transactions on Accessible Computing

  This comprehensive systematic literature review examines 20 years (2004–2024) of research on haptic assistive tools for people who are blind or have low vision (BLV), analyzing 132 papers from 11 major HCI venues including CHI, ASSETS, UIST, and IEEE Haptics. The review…

  haptic feedback · blind and low vision · assistive technology · systematic review · tactile graphics

• Field Trials of Autonomous Navigation Robot for Visually Impaired People

  Hironobu Takagi, Kakuya Naito, Daisuke Sato, Masayuki Murata, Seita Kayukawa, Chieko Asakawa · 2025 · Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA '25)

  This paper reports field trials of AI Suitcase, an autonomous navigation robot shaped like a conventional carry-on suitcase and designed to guide blind and visually impaired (BVI) travellers safely through unfamiliar public spaces. The system traces its origins to the CaBot…

  assistive robotics · blindness and low vision · navigation · indoor navigation · wayfinding

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