TableNarrator: Making Image Tables Accessible to Blind and Low Vision People
Ye Mo, Gang Huang, Liangcheng Li, Dazhen Deng, Zhi Yu, Yilun Xu, Kai Ye, Sheng Zhou, Jiajun Bu
Abstract
The widespread use of image tables presents significant accessibility challenges for blind and low vision (BLV) people, limiting their access to critical data. Despite advancements in artificial intelligence (AI) for interpreting image tables, current solutions often fail to consider the specific needs of BLV users, leading to a poor user experience. To address these issues, we introduce TableNarrator, an innovative system designed to enhance the accessibility of image tables. Informed by accessibility standards and user feedback, TableNarrator leverages AI to generate alternative text tailored to the cognitive and reading preferences of BLV users. It streamlines access through a simple interaction mode and offers personalized options. Our evaluations, from both technical and user perspectives, demonstrate that TableNarrator not only provides accurate and comprehensive table information but also significantly enhances the user experience for BLV people.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 605cd200-2523-408f-bd8a-aa525caff4e5Builds on15
- Visual Instruction TuningHaotian Liu, Chunyuan Li, Qingyang Wu, Yong Jae LeeNeurIPS 2023 · 11,349 citations
- BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language ModelsJunnan Li, Dongxu Li, Silvio Savarese, Steven C. H. HoiICML 2023 · 7,873 citations
- BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and GenerationJunnan Li, Dongxu Li, Caiming Xiong, Steven C. H. HoiICML 2022 · 6,549 citations
- TAPEX: Table Pre-training via Learning a Neural SQL ExecutorQian Liu, Bei Chen, Jiaqi Guo, Morteza Ziyadi et al.ICLR 2022 · 347 citations
- "Person, Shoes, Tree. Is the Person Naked?" What People with Vision Impairments Want in Image DescriptionsAbigale Stangl, Meredith Ringel Morris, Danna GurariCHI 2020 · 136 citations
Related papers
- Accessibility of Profile Pictures: Alt Text and Beyond to Express Identity OnlineMartez E. Mott, John C. Tang, Edward CutrellCHI 2023 · 6 citations
- What makes web data tables accessible? Insights and a tool for rendering accessible tables for people with visual impairmentsYanan Wang, Ruobin Wang, Crescentia Jung, Yea-Seul KimCHI 2022 · 27 citations
- ImageAssist: Tools for Enhancing Touchscreen-Based Image Exploration Systems for Blind and Low Vision UsersVishnu Nair, Hanxiu 'Hazel' Zhu, Brian A. SmithCHI 2023 · 26 citations
- Understanding the Use of a Large Language Model-Powered Guide to Make Virtual Reality Accessible for Blind and Low Vision PeopleJazmin Collins, Sharon Y. Lin, Tianqi Liu, Andrea Stevenson Won et al.CHI 2026 · 3 citations
- Ga11y: An Automated GIF Annotation System for Visually Impaired UsersMingrui Ray Zhang, Mingyuan Zhong, Jacob O. WobbrockCHI 2022 · 24 citations
