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• 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

• Measuring the Semantic Accessibility Gap in LLM-Generated Web UIs

  Tommaso Calo, Alexandra-Elena Gurita, Luigi De Russis · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26)

  Calo, Gurita, and De Russis investigate a blind spot of mainstream automated accessibility tools: while scanners like Axe-core reliably catch missing alt attributes or unlabelled form fields (syntactic violations), they cannot tell whether the values present are actually…

  web accessibility · large language models · LLM code generation · semantic accessibility · WCAG

• Auto-Generating Personas from User Reviews in VR App Stores

  Yi Wang, Kexin Cheng, Xiao Liu, Chetan Arora, John Grundy, Thuong Hoang, Henry Been-Lirn Duh · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  This CHI 2026 Extended Abstract reports on an auto-generated persona system developed to help undergraduate students surface accessibility requirements in virtual reality design projects. The authors argue that personas are well-established in user-centered design and…

  virtual reality · VR accessibility · personas · requirements engineering · large language models

• Investigating the Role of Agentic AI in Facilitating Travel Planning for People with Low Vision

  Ranran Ding, Maryam Bandukda · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  This CHI 2026 Extended Abstract examines a stage of accessible travel that most assistive-technology research has overlooked: the pre-trip planning work people with low vision (PLV) do before ever leaving the house. The authors argue that most existing tools — navigation apps,…

  low vision · wayfinding · agentic AI · large language models · conversational agents

• Reassurance Robots: OCD in the Age of Generative AI

  Grace Barkhuff · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  This CHI 2026 Extended Abstracts paper by Grace Barkhuff (Georgia Tech) is an exploratory qualitative study of how generative AI tools, particularly ChatGPT, are reshaping the lived experience of Obsessive-Compulsive Disorder (OCD). OCD is a mental health disorder characterized…

  OCD · Obsessive-Compulsive Disorder · generative AI · ChatGPT · mental health

• Making Charts Speak: LLM-Based Conversational Chart Question Answering for Blind and Low-Vision Users

  Amit Kumar Das, Mohammad Tarun, Klaus Mueller · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26)

  Das, Tarun, and Mueller present GraphWhisper, a conversational system that lets blind and low-vision (BLV) users explore chart images (JPEG, PNG) through natural-language questions, without requiring the chart data to be pre-structured in formats like Vega-Lite. The authors…

  chart accessibility · data visualization · blind and low vision · large language models · conversational interface

• NarrAid: Supporting Storytelling of People with Aphasia via Generative Visual Scene Displays

  Xiangfei Hu, Xiuqi Zheng, Qi Liu, Zejian Li, Ying Zhang, Lu Wang, Xipei Ren · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  NarrAid is a generative AI-driven Visual Scene Display (VSD) system designed to support storytelling, not just basic wants and needs, for people with aphasia (PWA). The authors argue that existing AAC tools, including traditional VSDs, support functional communication well but…

  aphasia · augmentative and alternative communication · visual scene display · storytelling · generative AI