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• EditScribe: Non-Visual Image Editing with Natural Language Verification Loops

  Ruei-Che Chang, Yuxuan Liu, Lotus Zhang, Anhong Guo · 2024 · ASSETS '24: Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility

  This paper introduces EditScribe, a prototype system that makes image editing accessible to blind and low vision (BLV) users through natural language interaction powered by large multimodal models (LMMs). Image editing is inherently visual and iterative — users need to see the…

  blind and low vision · image editing · generative AI · large multimodal models · natural language interaction

• A Recipe for Success? Exploring Strategies for Improving Non-Visual Access to Cooking Instructions

  Franklin Mingzhe Li, Ashley Wang, Patrick Carrington, Shaun K. Kane · 2024 · Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2024)

  This paper investigates how people with vision impairments access and follow cooking recipes, identifying practices, challenges, and design opportunities for more accessible kitchen technologies. The researchers conducted semi-structured interviews with 20 blind cooks (ranging…

  blind · visual impairment · cooking accessibility · recipe access · assistive technology

• Touchpad Mapper: Exploring Non-Visual Touchpad Interactions for Screen-Reader Users

  Ather Sharif, Venkatesh Potluri, Jazz R. X. Ang, Jacob O. Wobbrock, Jennifer Mankoff · 2024 · Proceedings of the 21st International Web for All Conference (W4A)

  This technical note introduces Touchpad Mapper, a system that repurposes the laptop touchpad — a widely available but underutilized input device for screen-reader users — as a spatial interface for exploring 2D digital content non-visually. The authors argue that while touchpads…

  screen readers · blindness · touchpad · interaction design · input devices

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