Finding the Signal in the Noise: An Exploratory Study on Assessing the Effectiveness of AI and Accessibility Forums for Blind Users' Support Needs
Satwik Ram Kodandaram, Jiawei Zhou, Xiaojun Bi, IV Ramakrishnan, Vikas Ashok · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26) · doi:10.1145/3772318.3790956
Summary
This exploratory interview study with 14 blind screen-reader users examines how they use accessibility-focused online forums (JFW, NVDA groups, AppleVis, r/Blind) and generative AI tools (ChatGPT, Gemini, Claude) to troubleshoot computer-interaction problems, learn new assistive technologies, and stay current with screen reader features, tutorials, and software updates. Participants ranged in age from 33 to 73, with mixed expertise from beginner to expert, and all used both resource types regularly. The authors employ a hybrid reflexive thematic analysis combining deductive codes drawn from prior work on forums and GenAI with inductive codes emerging from 462 pages of transcripts. The research frames both resources within Information Foraging Theory, treating help-seeking as an optimisation process in which users aim to extract maximum information with minimum effort. It focuses specifically on computer-interaction support needs — troubleshooting software, configuring screen readers, adapting to interface updates — a domain under-examined relative to everyday GenAI uses like image description or creative writing. Through three research questions covering forum experiences, GenAI experiences, and user needs and preferences, the paper maps concrete pain points in current support ecosystems and proposes design opportunities for more trustworthy, cognitively manageable assistive resources built around segmented topics, verified answers, Q&A formats, headings as anchors, and reliable, screen-reader-aware AI output.
Key findings
Forums impose heavy cognitive load through fragmented threads, redundant quoted text, inline advertisements, cluttered metadata, hidden or collapsed posts, and vague or ambiguous link labels. Eight of 14 participants found the NVDA and JFW forum search functions unreliable or non-functional at thread level; keyword searches frequently returned site-wide irrelevant results. Solutions were typically scattered across multiple posts, forcing users to manually stitch version-specific instructions together and maintain external notes in Notepad, Word, or Braille notetakers. Critical caveats were often buried mid-reply and easily missed. GenAI tools introduced a distinct set of problems: visual references (e.g., 'click the green button') that ignore stated screen-reader use, ambiguous pronouns, underspecified steps, fabricated menu paths and URLs, prompt contradictions, context leakage across chat sessions, verbose paragraph-style answers, and over-generalised advice like 'reset to defaults'. Nine participants reported disruptive advertisements in forums and nine wanted GenAI to be honest about uncertainty. Ten preferred structured step-by-step AI instructions with embedded confirmation checkpoints over conversational prose.
Relevance
This paper is directly relevant to anyone designing, moderating, or recommending support resources for blind users — forum platform owners, assistive technology vendors, AI tool developers, and accessibility educators. It documents concrete, actionable gaps: forums need thread-level search that actually works, topic segmentation, accessible quoted-text handling, heading-per-post structure, and verified-answer markers akin to Stack Overflow's green tick. GenAI tools need persistent user profiles (screen reader, OS, version), explicit uncertainty signalling, keyboard-only instructions that avoid visual references, and multi-agent verification to curb hallucinations. Limitations include a predominantly intermediate/expert US-based, English-speaking sample, meaning novice and multilingual experiences are under-represented. The Information Foraging Theory framing offers a useful lens for future work quantifying effort-to-value ratios across assistive support channels.
Tags: blind users · screen readers · accessibility forums · generative AI · ChatGPT · interview study · information foraging · troubleshooting · assistive technology
Standards referenced: WAI-ARIA · WCAG