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Cited by 39Assistive Technology in Communication and MobilityDigital Accessibility for DisabilitiesTactile and Sensory Interactions

What do Blind and Low-Vision People Really Want from Assistive Smart Devices? Comparison of the Literature with a Focus Study

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Gamage, Bhanuka, Do, Thanh-Toan, Price, Nicholas Seow Chiang, Lowery, Arthur, Marriott, Kim·2023·The 25th International ACM SIGACCESS Conference on Computers and Accessibility
DOI 10.1145/3597638.3608955
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Abstract

Over the last decade there has been considerable research into how artificial intelligence (AI), specifically computer vision, can assist people who are blind or have low-vision (BLV) to understand their environment. However, there has been almost no research into whether the tasks (object detection, image captioning, text recognition etc.) and devices (smartphones, smart-glasses etc.) investigated by researchers align with the needs and preferences of BLV people. We identified 646 studies published in the last two and a half years that have investigated such assistive AI techniques. We analysed these papers to determine the task, device and participation by BLV individuals. We then interviewed 24 BLV people and asked for their top five AI-based applications and to rank the applications found in the literature. We found only a weak positive correlation between BLV participants’ perceived importance of tasks and researchers’ focus and that participants prefer conversational agent interface and head-mounted devices.

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  • Finding a preferred seat is difficult for blind and low vision (BLV) people.

    “Finding a preferred seat can also be difficult for BLV people [1, 14]”

    From Get In Touch with Your Seat: Accessible Seat Localization for Blind and Low Vision Travelers in Autonomous Shuttles (2026) · cites this paper as [14]

    The Introduction and Section 5.1 report that BLV participants identified empty-seat detection as an important task, supporting the point that finding a seat can be difficult. The paper discusses locating unoccupied seats, but does not address finding a particular preferred seat. (LLM, conf=0.84)

    Experimental — accuracy not yet measured

  • Finding a preferred seat will be particularly relevant in the entry phase of the trip given shared mobility concepts for AVs that include multi-passenger shuttles.

    “Finding a preferred seat can also be difficult for BLV people [1, 14] and will be particularly relevant in the entry phase of the trip given shared mobility concepts for AVs that include multi-passenger shuttles (e.g., at airports).”

    From Get In Touch with Your Seat: Accessible Seat Localization for Blind and Low Vision Travelers in Autonomous Shuttles (2026) · cites this paper as [14]

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Authors
Gamage, B., Do, T.-T., Price, N. S. C., Lowery, A., & Marriott, K.
Affiliations
Monash University (AU)
ORCID
Venue
The 25th International ACM SIGACCESS Conference on Computers and Accessibility
Publisher
ACM
Published
2023-10-22
Pages
1-21
DOI
10.1145/3597638.3608955
OpenAlex
W4387793573
Cited by
39
References
70
Citations by year
2026: 11 · 2025: 13 · 2024: 15
FWCI
27.02
Type
conference paper
Language
en
Open access
Licence
www.acm.org/publications/policies/copyright_policy#Background (vor)
Locations
  • International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) (publishedVersion)
  • arXiv (Cornell University) (acceptedVersion)
  • arXiv (Cornell University)
Topics
  • Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
  • Social Sciences › Human Factors and Ergonomics › Digital Accessibility for Disabilities
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
Keywords
blind and low vision people, assistive technology, smart devices, computer vision, object detection, image captioning, text recognition, user needs and preferences, head-mounted devices, smart glasses, chatbots, smartphone accessibility

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