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• Understanding How Blind Users Handle Object Recognition Errors: Strategies and Challenges

  Jonggi Hong, Hernisa Kacorri · 2024 · ASSETS '24: Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility

  This paper investigates how blind and low-vision users interact with object recognition systems, specifically focusing on how they identify and handle recognition errors. While object recognition technologies powered by computer vision and machine learning have enormous…

  blind users · object recognition · AI errors · computer vision · camera-based assistive technology

• "Dump it, Destroy it, Send it to Data Heaven": Blind People's Expectations for Visual Privacy in Visual Assistance Technologies

  Abigale Stangl, Emma Sadjo, Pardis Emami-Naeini, Yang Wang, Danna Gurari, Leah Findlater · 2023 · Proceedings of the 20th International Web for All Conference (W4A)

  This paper investigates the visual privacy expectations of 16 totally blind individuals who use visual assistance technologies (VATs) such as Aira, Be My Eyes, Seeing AI, and Envision AI. VATs provide blind users access to visual information by connecting them to remote human…

  visual privacy · blind users · visual assistance technology · privacy expectations · data protection

• Shared Privacy Concerns of the Visually Impaired and Sighted Bystanders with Camera-Based Assistive Technologies

  Taslima Akter, Tousif Ahmed, Apu Kapadia, Manohar Swaminathan · 2022 · ACM Transactions on Accessible Computing

  This paper investigates the privacy and ethical concerns surrounding camera-based assistive technologies (like smart glasses) from two perspectives: people with visual impairments (PVIs) as technology wearers and sighted people as bystanders who might be observed. The…

  privacy · visual impairment · camera-based assistive technology · AI ethics · algorithmic bias

• Tactile Graphics with a Voice

  Catherine M. Baker, Lauren R. Milne, Ryan Drapeau, Jeffrey Scofield, Cynthia L. Bennett, Richard E. Ladner · 2016 · ACM Transactions on Accessible Computing (TACCESS)

  This paper presents Tactile Graphics with a Voice (TGV), a system that uses QR codes and a smartphone application to make text labels on tactile graphics accessible to blind and low-vision users — particularly the estimated 60% of blind people who are not fluent in Braille.…

  tactile graphics · visual impairment · QR codes · STEM accessibility · Braille

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