The Sky is the Limit: Understanding How Generative AI can Enhance Screen Reader Users' Experience with Productivity Applications
Minoli Perera, Swamy Ananthanarayan, Cagatay Goncu, Kim Marriott
Abstract
Productivity applications including word processors, spreadsheets, and presentation tools are crucial in work, education, and personal settings. Blind users typically access these tools via screen readers (SRs) and face significant accessibility and usability challenges. Recent advancements in Generative AI (GenAI) may address these challenges by enabling natural language interactions and contextual task understanding. However, there is limited understanding of SR users' needs and attitudes toward GenAI assistance in these applications. We surveyed 99 SR users to gain a holistic understanding of the challenges they face when using productivity applications, the impact of these challenges on their productivity and independence, and their initial perceptions of AI assistance. Driven by their enthusiasm, we conducted interviews with 16 SR users to explore their attitudes toward GenAI and its potential usefulness in productivity applications. Our findings highlight its need to support existing SR workflows and the importance of enabling customization and task verification.
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 64fc04e0-318e-4ce4-83f3-167ed2a8b1c7Cited by top-tier papers6
- Accessibility-Driven Information Transformations in Mixed-Visual Ability Work TeamsYichun Zhao, Miguel A. Nacenta, Mahadeo A. Sukhai, Sowmya SomanathCHI 2026 · 2 citations
- "I'm Constantly Getting Comments Like, 'Oh, You're Blind. You're Like the Only Woman That I Stand a Chance With.'": A Study of Blind TikTokers' Intersectional Experiences of Gender and SexualityYao Lyu, Jessica Shen, Alina Faisal, John M. CarrollCHI 2026 · 1 citation
- Understanding Educators' Perceptions of AI-generated Non-consensual Intimate ImageryTongxin Li, Katelyn M. Reyes, Liezeil Jimenez, Katie S. Nam et al.CHI 2026 · 1 citation
- Finding the Signal in the Noise: An Exploratory Study on Assessing the Effectiveness of AI and Accessibility Forums for Blind Users' Support NeedsSatwik Ram Kodandaram, Jiawei Zhou, Xiaojun Bi, I. V. Ramakrishnan et al.CHI 2026 · 1 citation
- From Struggle to Success: Context-Aware Guidance for Screen Reader Users in Computer UseNan Chen, Jing Lu, Zilong Wang, Luna K. Qiu et al.CHI 2026 · 1 citation
Builds on14
- Language Models are Few-Shot LearnersTom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah et al.NeurIPS 2020 · 64,255 citations
- Design Principles for Generative AI ApplicationsJustin D. Weisz, Jessica He, Michael J. Muller, Gabriela Hoefer et al.CHI 2024 · 221 citations
- "Nobody Speaks that Fast!" An Empirical Study of Speech Rate in Conversational Agents for People with Vision ImpairmentsDasom Choi, Daehyun Kwak, Minji Cho, Sangsu LeeCHI 2020 · 55 citations
- Investigating Use Cases of AI-Powered Scene Description Applications for Blind and Low Vision PeopleRicardo E. Gonzalez Penuela, Jazmin Collins, Cynthia L. Bennett, Shiri AzenkotCHI 2024 · 44 citations
- Understanding Blind Screen-Reader Users' Experiences of Digital ArtboardsAnastasia Schaadhardt, Alexis Hiniker, Jacob O. WobbrockCHI 2021 · 44 citations
Related papers
- I'm Always a Little Skeptical of It: Verification Practices of Blind Users When Working with Generative AI in SpreadsheetsMinoli Perera, Swamy Ananthanarayan, Cagatay Goncu, Kim MarriottCHI 2026 · 1 citation
- "Game Changer" or "Overenthusiastic Drunk Acquaintance"? Generative AI Use by Blind and Low Vision Software Professionals in the WorkplaceYoonha Cha, Victoria Jackson, Lauren Shu, Stacy Branham et al.ICSE 2026
- Everyday Uncertainty: How Blind People Use GenAI Tools for Information AccessXinru Tang, Ali Abdolrahmani, Darren Gergle, Anne Marie PiperCHI 2025 · 26 citations
- RAVEN: Realtime Accessibility in Virtual ENvironments for Blind and Low-Vision PeopleXinyun Cao, Kexin Phyllis Ju, Chenglin Li, Venkatesh Potluri et al.CHI 2026 · 1 citation
- Programmers Who Use Screen Readers in the Vibe Coding Era: Adaptation, Empowerment, and New Accessibility LandscapeNan Chen, Luna K. Qiu, Arran Zeyu Wang, Zilong Wang et al.CHI 2026 · 2 citations
