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• iTagPDF: Towards Finally Automating PDF Accessibility

  Peya Mowar, Aaron Steinfeld, Jeffrey P. Bigham · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper from Mowar, Steinfeld, and Bigham (Carnegie Mellon) presents iTagPDF, an automated system for tagging academic research PDFs so they are accessible to screen reader users. The authors argue that PDF accessibility has remained a persistent problem for over a…

  PDF accessibility · tagged PDF · PDF remediation · automated accessibility · document layout analysis

• TouchScribe: Augmenting Non-Visual Hand-Object Interactions with Automated Live Visual Descriptions

  Ruei-Che Chang, Rosiana Natalie, Wenqian Xu, Jovan Zheng Feng Yap, Tiange Luo, Venkatesh Potluri, Anhong Guo · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  TouchScribe is a wearable, camera-based assistive system that delivers live, hierarchical visual descriptions of physical objects in response to a blind or low vision (BLV) user's hand-object interactions. The authors argue that existing AI assistants such as Seeing AI, Be My…

  blind and low vision · assistive technology · visual descriptions · hand-object interactions · gestures

• "It's trained by non-disabled people": Evaluating How Image Quality Affects Product Captioning with Vision-Language Models

  Kapil Garg, Xinru Tang, Jimin Heo, Dwayne R. Morgan, Darren Gergle, Erik B. Sudderth, Anne Marie Piper · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Garg and colleagues investigate how well Vision-Language Models (VLMs) caption product images taken by blind and low-vision (BLV) people — a high-stakes everyday task that increasingly depends on tools like Be My AI, Microsoft Seeing AI, and general-purpose assistants such as…

  blind and low vision · vision-language models · image captioning · product identification · hallucinations

• AI4XR: AI in Extended Reality for 3D Scene Editing and Accessibility Design

  Junlong Chen · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26) — Doctoral Consortium

  This CHI '26 Doctoral Consortium paper summarises Junlong Chen's PhD research at the University of Cambridge on integrating AI — specifically large language models (LLMs) and vision-language models (VLMs) — into extended reality (XR) workflows. The research covers two…

  extended reality · virtual reality · artificial intelligence · large language models · vision-language models

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