Reviews

Search results

• 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

• SceneScout: Towards AI-Driven Access to Street Level Imagery for Blind Users

  Gaurav Jain, Leah Findlater, Cole Gleason · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Jain, Findlater and Gleason present SceneScout, a prototype web interface that uses a multimodal large language model (GPT-4o) to make street level imagery — the panoramic pedestrian-height photography behind Apple Maps Look Around and Google Street View — directly usable by…

  accessibility · navigation · screen readers · AI · multimodal AI

• From Struggle to Success: Context-Aware Guidance for Screen Reader Users in Computer Use

  Nan Chen, Jing Lu, Zilong Wang, Luna K. Qiu, Siming Chen, Yuqing Yang · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Chen, Lu, Wang, Qiu, Chen and Yang present AskEase, an NVDA add-on that delivers on-demand, step-by-step, screen-reader-friendly guidance for blind and low-vision computer users tackling unfamiliar desktop software. The work responds to a persistent problem: mainstream tutorials…

  accessibility · screen readers · AI · LLM · assistive technology

• Creating Disability Story Videos with Generative AI: Motivation, Expression, and Sharing

  Shuo Niu, Dylan Clements, Hyungsin Kim · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Niu, Clements, and Kim worked with nine people with disabilities (PwDs) from a Massachusetts disability advocacy group (pseudonymized as 'Campaign') to study how novice users adopt generative AI for creating first-person disability storytelling videos. Participants had…

  generative AI · disability storytelling · video accessibility · disability advocacy · LLM

• Designing a Generative AI-Assisted Music Psychotherapy Tool for Deaf and Hard-of-Hearing Individuals

  Youjin Choi, JaeYoung Moon, JinYoung Yoo, Jennifer G. Kim, Jin-Hyuk Hong · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Choi and colleagues designed, built, and evaluated a generative-AI music psychotherapy tool co-designed with licensed Korean music therapists for deaf and hard-of-hearing (DHH) users. The work is motivated by the observation that music psychotherapy — which uses songwriting,…

  music therapy · deaf accessibility · DHH · generative AI · conversational agent

• Towards LLM-powered Assistive Drone for Blind and Low Vision Users

  Yize Wei, Ibnu Taimiyyah Bin Adam, Hanjun Wu, Moritz Messerschmidt, Wei Tsang Ooi, Christophe Jouffrais, Suranga Nanayakkara · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Wei and colleagues built and evaluated a voice-based assistive drone prototype for blind and low-vision (BLV) users that leverages GPT-4o in two stages: generating step-by-step Python drone-control code from natural-language commands, and interpreting images captured by the…

  blind and low vision · assistive technology · drone · LLM · large language models

6 results.