Conversations for Vision: Remote Sighted Assistants Helping People with Visual Impairments
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Abstract (arXiv)
People with visual impairment (PVI) must interact with a world they cannot see. Remote sighted assistance has emerged as a conversational/social support system. We interviewed participants who either provide or receive assistance via a conversational/social prosthetic called Aira (https://aira.io/). We identified four types of support provided: scene description, performance, social interaction, and navigation. We found that conversational style is context-dependent. Sighted assistants make intentional efforts to elicit PVI's personal knowledge and leverage it in the guidance they provide. PVI used non-verbal behaviors (e.g. hand gestures) as a parallel communication channel to provide feedback or guidance to sighted assistants. We also discuss implications for design.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). First posted on arXiv 1 Dec 2018.
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Citing papers per year: 2024: 2; 2025: 3; 2026: 1.
6 papers.
- 2024WorldScribe: Towards Context-Aware Live Visual Descriptionscited by 27
- 2024Investigating Use Cases of AI-Powered Scene Description Applications for Blind and Low Vision Peoplecited by 24
- 2025Beyond Visual Perception: Insights from Smartphone Interaction of Visually Impaired Users with Large Multimodal Modelscited by 13
- 2025Towards Understanding the Use of MLLM-Enabled Applications for Visual Interpretation by Blind and Low Vision Peoplecited by 11
- 2026How Multimodal Large Language Models Support Access to Visual Information: A Diary Study With Blind and Low Vision Peoplecited by 3
- 2025Probing the Gaps in ChatGPT Live Video Chat for Real-World Assistance for People who are Blind or Visually Impairedcited by 2
- 2026How Multimodal Large Language Models Support Access to Visual Information: A Diary Study With Blind and Low Vision People13 Feb 2026
- 2025Probing the Gaps in ChatGPT Live Video Chat for Real-World Assistance for People who are Blind or Visually Impaired5 Aug 2025
- 2025Towards Understanding the Use of MLLM-Enabled Applications for Visual Interpretation by Blind and Low Vision People7 Mar 2025
- 2025Beyond Visual Perception: Insights from Smartphone Interaction of Visually Impaired Users with Large Multimodal Models22 Feb 2025
- 2024WorldScribe: Towards Context-Aware Live Visual Descriptions13 Aug 2024
- 2024Investigating Use Cases of AI-Powered Scene Description Applications for Blind and Low Vision People22 Mar 2024