"It's Kind of Context Dependent": Understanding Blind and Low Vision People's Video Accessibility Preferences Across Viewing Scenarios
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Abstract (arXiv)
While audio description (AD) is the standard approach for making videos accessible to blind and low vision (BLV) people, existing AD guidelines do not consider BLV users' varied preferences across viewing scenarios. These scenarios range from how-to videos on YouTube, where users seek to learn new skills, to historical dramas on Netflix, where a user's goal is entertainment. Additionally, the increase in video watching on mobile devices provides an opportunity to integrate nonverbal output modalities (e.g., audio cues, tactile elements, and visual enhancements). Through a formative survey and 15 semi-structured interviews, we identified BLV people's video accessibility preferences across diverse scenarios. For example, participants valued action and equipment details for how-to videos, tactile graphics for learning scenarios, and 3D models for fantastical content. We define a six-dimensional video accessibility design space to guide future innovation and discuss how to move from "one-size-fits-all" paradigms to scenario-specific approaches.
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Mar 2024.
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Citing papers per year: 2025: 4; 2026: 6.
10 papers.
- 2025Beyond Visual Perception: Insights from Smartphone Interaction of Visually Impaired Users with Large Multimodal Modelscited by 13
- 2025Vid2Coach: Transforming How-To Videos into Task Assistantscited by 12
- 2025Personalized Image Descriptions from Attention Sequencescited by 2
- 2025Accessibility Considerations in the Development of an AI Action Plancited by 1
- 2026Finding the Signal in the Noise: An Exploratory Study on Assessing the Effectiveness of AI and Accessibility Forums for Blind Users' Support Needscited by 1
- 2026Creating Disability Story Videos with Generative AI: Motivation, Expression, and Sharingcited by 0
- 2026Toward Scalable Audio Description Quality Control: A Workflow for Evaluating Human and VLM Raterscited by 0
- 2026Making Videos Accessible for Blind and Low Vision Users Using a Multimodal Agent Video Playercited by 0
- 2026Lost in Instructions: Study of Blind Users' Experiences with DIY Manuals and AI-Rewritten Instructions for Assembly, Operation, and Troubleshooting of Tangible Productscited by 0
- 2026Position: Assistive Agents Need Accessibility Alignmentcited by 0
- 2026Position: Assistive Agents Need Accessibility Alignment13 May 2026
- 2026Lost in Instructions: Study of Blind Users' Experiences with DIY Manuals and AI-Rewritten Instructions for Assembly, Operation, and Troubleshooting of Tangible Products20 Feb 2026
- 2026Finding the Signal in the Noise: An Exploratory Study on Assessing the Effectiveness of AI and Accessibility Forums for Blind Users' Support Needs20 Feb 2026
- 2026Making Videos Accessible for Blind and Low Vision Users Using a Multimodal Agent Video Player4 Feb 2026
- 2026Toward Scalable Audio Description Quality Control: A Workflow for Evaluating Human and VLM Raters1 Feb 2026
- 2026Creating Disability Story Videos with Generative AI: Motivation, Expression, and Sharing18 Jan 2026
- 2025Personalized Image Descriptions from Attention Sequences7 Dec 2025
- 2025Vid2Coach: Transforming How-To Videos into Task Assistants31 May 2025
- 2025Accessibility Considerations in the Development of an AI Action Plan14 Mar 2025
- 2025Beyond Visual Perception: Insights from Smartphone Interaction of Visually Impaired Users with Large Multimodal Models22 Feb 2025