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• VeasyGuide: Personalized Visual Guidance for Low-vision Learners on Instructor Actions in Presentation Videos

  Mohamad Elayyan Sechayk, Himanshu Singh, Jan Smeddinck, Chakkrit Tantithamthavorn · 2025 · ASSETS 2025: 27th International ACM SIGACCESS Conference on Computers and Accessibility

  This paper introduces VeasyGuide, a tool designed to make presentation videos more accessible for low-vision (LV) learners by automatically detecting and highlighting instructor actions such as pointing, marking, and sketching. The authors identify a significant gap in current…

  low vision · video accessibility · e-learning · motion detection · visual guidance

• CapTune: Adapting Non-Speech Captions With Anchored Generative Models

  Jeremy Zhengqi Huang, Caluã De Lacerda Pataca, Saelyne Yang Wu, Dhruv Jain · 2025 · ASSETS 2025: 27th International ACM SIGACCESS Conference on Computers and Accessibility

  CapTune is a system that enables customization of non-speech captions—descriptions of environmental sounds, music, and other audio cues—for Deaf and Hard of Hearing (DHH) viewers. Current captioning practices follow a one-size-fits-all model based on standardized guidelines like…

  closed captioning · non-speech information · caption customization · deaf and hard of hearing · generative AI

• DescribePro: Collaborative Audio Description with Human-AI Interaction

  Maryam S Cheema, Sina Elahimanesh, Samuel Martin, Pooyan Fazli, Hasti Seifi · 2025 · ASSETS 2025: 27th International ACM SIGACCESS Conference on Computers and Accessibility

  This paper presents DescribePro, a web-based platform that combines human expertise with AI capabilities to create and refine audio descriptions (AD) for video content. The system addresses the fundamental tension in AD production: human-crafted descriptions are high quality but…

  audio description · video accessibility · human-AI collaboration · authoring tools · blind and low vision

• Exploring AI-Fabrication in Shaping the Future of DIY-AT Design: Insights from Makers

  Leila Aflatoony, Mixuan Li, Yiyun Zhang, Irene Jacob, Shujian Xu, Ziqi Tang, Andre Grossberg · 2025 · ASSETS 2025: 27th International ACM SIGACCESS Conference on Computers and Accessibility

  This paper investigates how generative AI can support Do-It-Yourself assistive technology (DIY-AT) design and fabrication. The researchers developed a web-based GenAI interface that combines text-to-image generation (via MidJourney) and image-to-3D model conversion (via Meshy…

  assistive technology · generative AI · digital fabrication · 3D printing · DIY assistive technology

• CuCap: Comparative Analysis of Customized Captioning between North American and South Korean d/Deaf and Hard-of-Hearing Users

  Caluã de Lacerda Pataca, SooYeon Ahn, Suhyeon Yoo, JooYeong Kim, Khai N. Truong, Jin-Hyuk Hong, Roshan L Peiris, Matt Huenerfauth · 2025 · ASSETS 2025: 27th International ACM SIGACCESS Conference on Computers and Accessibility

  This paper introduces CuCap, a customizable captioning system that allows d/Deaf and Hard-of-Hearing (DHH) users to personalize how paralinguistic speech features are visually represented in captions. Traditional captions convey only the words spoken, losing important…

  deaf and hard of hearing · captioning · customization · cross-cultural study · speech prosody

• NoTeeline: Supporting Real-Time, Personalized Notetaking with LLM-Enhanced Micronotes

  Faria Huq, Abdus Samee, David Chuan-En Lin, Alice Xiaodi Tang, Jeffrey P. Bigham · 2025 · Proceedings of the 30th International Conference on Intelligent User Interfaces (IUI '25)

  This paper introduces NoTeeline, an interactive notetaking tool that uses LLMs to expand user-written "micronotes" — brief shorthand jottings like "plastic pol. ->" or "RNNs are unrolled l to r or opp" — into full-fledged notes that maintain the user's personal writing style.…

  large language models · writing assistance · personalization · notetaking · cognitive load

6 results.