Literature Reviews
Reviewed research papers, articles, and publications relevant to digital accessibility.
46 results found tagged generative AI.
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NarrAid: Supporting Storytelling of People with Aphasia via Generative Visual Scene Displays
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 functi…
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Reassurance Robots: OCD in the Age of Generative AI
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 h…
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Keeping Community-in-the-Loop: A Novel Methodology for UX Research
This CHI 2026 Extended Abstracts poster from a Google research team introduces Community-in-the-Loop (CoLoop), a research and design methodology aimed at correcting the shortcomings of transactional, short-term UX research when working with people wi…
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From Compliance to Decision Confidence: A Scoping Review of Accessible E-Commerce for Blind and Low-Vision People
Ryskeldiev, Gillingham, and Kobori (Mercari R4D and University of Tsukuba) present a scoping review of 21 papers (14 directly about e-commerce accessibility for blind and low-vision (BLV) users, 7 adjacent) published 2010-2025, drawn from ACM DL, Goo…
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Steering Generative Models for Accessibility: EasyRead Image Generation
Dickenmann and colleagues (ETH Zurich and UNICEF Digital Impact Division) present the first open-source pipeline for generating Easy Read-style pictograms using a fine-tuned diffusion model. Easy Read pairs short sentences with simple, high-contrast …
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Interface Support for Evaluating Disability Bias in AI-Generated Images
Mack and colleagues investigate whether interface-level interventions can help users of generative text-to-image (T2I) tools recognise and avoid disability stereotypes in AI-generated images. The authors frame the work around a gap in AI safety: whil…
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LingoLift: Supporting Educators in Personalized Oral Language Teaching for Autistic Children through Content Generation
This CHI 2026 paper presents LingoLift, a generative AI system that supports special-education teachers and speech-language pathologists in preparing and delivering personalized oral language lessons for autistic children. The authors argue that exis…
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Say It My Way: Exploring Control in Conversational Visual Question Answering with Blind Users
This CHI 2026 paper investigates how blind users can exert control over responses generated by conversational visual question answering (VQA) systems built on vision-language models. While prompting and steering techniques are well established in gen…
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Shared Stories, Shared Bonds: People with Dementia Exploring Generative AI Together
This paper reports on a qualitative workshop study examining how people living with mild to moderate dementia engage with three generative AI tools - Microsoft Copilot (text), Midjourney (images), and Suno (music) - in a group setting, and what forms…
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GenRole: Personalizing Role Play for Educators Supporting Autistic Students' Social Interaction Learning
This CHI 2026 paper introduces GenRole, a generative-AI system that helps educators build personalised role-play activities for teaching social interaction skills to autistic children. Motivated by the gap between role-play as a well-evidenced teachi…