# "It's Kind of Context Dependent": Understanding Blind and Low Vision People's Video Accessibility Preferences Across Viewing Scenarios

arXiv: https://arxiv.org/abs/2403.10792 · HTML: https://mlsanity.com/paper/2403.10792/

## Key facts

- Cited by 11 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 16 Mar 2024.

## Built on by (most cited first, 11 of 11)

- [Beyond Visual Perception: Insights from Smartphone Interaction of Visually Impaired Users with Large Multimodal Models](https://mlsanity.com/paper/2502.16098/) (2025)
- [Vid2Coach: Transforming How-To Videos into Task Assistants](https://mlsanity.com/paper/2506.00717/) (2025)
- [Personalized Image Descriptions from Attention Sequences](https://mlsanity.com/paper/2512.06662/) (2025)
- [Accessibility Considerations in the Development of an AI Action Plan](https://mlsanity.com/paper/2503.14522/) (2025)
- [Toward Scalable Audio Description Quality Control: A Workflow for Evaluating Human and VLM Raters](https://mlsanity.com/paper/2602.01390/) (2026)
- [Finding the Signal in the Noise: An Exploratory Study on Assessing the Effectiveness of AI and Accessibility Forums for Blind Users' Support Needs](https://mlsanity.com/paper/2602.18623/) (2026)
- [Creating Disability Story Videos with Generative AI: Motivation, Expression, and Sharing](https://mlsanity.com/paper/2601.12617/) (2026)
- [Making Videos Accessible for Blind and Low Vision Users Using a Multimodal Agent Video Player](https://mlsanity.com/paper/2602.04104/) (2026)
- [Lost in Instructions: Study of Blind Users' Experiences with DIY Manuals and AI-Rewritten Instructions for Assembly, Operation, and Troubleshooting of Tangible Products](https://mlsanity.com/paper/2602.18630/) (2026)
- [Position: Assistive Agents Need Accessibility Alignment](https://mlsanity.com/paper/2605.13579/) (2026)
- [AD4EDU: Benchmarking University Lecture Audio Description across Accessibility Standards, Metrics, and Learner Preferences](https://mlsanity.com/paper/2610.17042/) (2026)

## 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.