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• I, Robot? Exploring Ultra-Personalized AI-Powered AAC; an Autoethnographic Account

  Tobias M Weinberg, Ricardo E. Gonzalez Penuela, Stephanie Valencia, Thijs Roumen · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This paper is a multi-month autoethnographic study by an AAC (Augmentative and Alternative Communication) user-researcher who fine-tuned a personalized large language model on his own communication data and then used it as the suggestion engine in his everyday speech-generating…

  AAC · autoethnography · large language models · personalization · agency

• Beyond Omakase: Designing Shared Control for Navigation Robots with Blind People

  Rie Kamikubo, Seita Kayukawa, Yuka Kaniwa, Allan Wang, Hernisa Kacorri, Hironobu Takagi, Chieko Asakawa · 2025 · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI '25)

  Kamikubo and colleagues investigate how autonomous navigation robots for blind users should balance robot autonomy against user control, arguing that current systems default to what they call 'omakase' — a Japanese term meaning 'I leave it to you' — in which the robot makes all…

  assistive robotics · blindness and low vision · human-robot interaction · social robot navigation · shared control

• Understanding the Power of Control in Autonomous Vehicles for People with Vision Impairment

  Robin N. Brewer, Vaishnav Kameswaran · 2018 · Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2018)

  This University of Michigan study investigates how people with vision impairments perceive control in semi-autonomous versus fully autonomous vehicles, a distinction previous research had not explored. The researchers conducted design-based focus groups with 15 participants…

  blindness · low vision · autonomous vehicles · accessible transportation · independence

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