Finding the Signal in the Noise: An Exploratory Study on Assessing the Effectiveness of AI and Accessibility Forums for Blind Users’ Support Needs

Visual Impairment Technologies (Screen Readers, Tactile Graphics, Braille)Generative AI (Text, Image, Music, Video)Explainable AI (XAI)Speech-Language Pathologists & AudiologistsHCI Researchers

Paper Title

Finding the Signal in the Noise: An Exploratory Study on Assessing the Effectiveness of AI and Accessibility Forums for Blind Users’ Support Needs

Publication Info

  • Topic area: Accessibility and assistive technology for blind users
  • Keywords: Blind users, screen readers, accessibility forums, generative AI, troubleshooting, assistive technology, cognitive load, information foraging, usability, design recommendations

Background and Problem

  • Problem / challenge: Accessibility forums and generative AI tools are critical resources for blind users seeking computer-interaction support, but both systems impose significant barriers. Forums overwhelm users with fragmented discussions and scattered solutions, while AI tools often produce unreliable, inaccessible, or fabricated responses.
  • Significance: Blind users face disproportionate cognitive burdens when navigating these resources, which undermines their ability to troubleshoot, learn, and adapt to assistive technologies effectively.
  • Motivation and related work: Prior research has documented accessibility barriers in web navigation, forum interactions, and GenAI use, but little is known about how blind users operationalize responses from these platforms to resolve computer-interaction challenges. This paper addresses this gap by investigating their experiences and needs.

Solution

  • Proposed approach: An interview study with 14 blind participants to explore their experiences with accessibility forums and GenAI tools, identify challenges, and propose design recommendations for improving usability and reliability.
  • Novelty:
    1. Detailed insights into blind users’ challenges with fragmented forum threads and unreliable AI outputs.
    2. Documentation of blind users’ needs for structured, step-by-step instructions and trustworthy responses.
    3. Actionable design recommendations for improving forums and AI tools, such as topic segmentation, verified markers, and multi-agent verification systems.
  • Procedure and key techniques:
    • Semi-structured interviews with blind participants experienced in forums and GenAI tools.
    • Iterative coding and thematic analysis to identify challenges, strategies, and preferences.
    • Integration of findings with Information Foraging Theory to contextualize user behaviors and design implications.

Results

  • Concrete findings:
    • Forums overwhelm blind users with fragmented threads, redundant content, unreliable search functions, unclear links, and mixed-topic discussions.
    • GenAI tools produce inaccessible visual references, vague instructions, fabricated information, and lengthy responses, increasing verification burdens.
    • Blind users prefer concise, step-by-step instructions, environment-specific guidance, and reliable markers for validated solutions.
  • Advantage over baselines:
    • The study extends prior work by uncovering operationalization challenges and proposing structured solutions for both forums and AI tools.
  • Experiments / evaluation:
    • IRB-approved interviews with 14 blind participants aged 33–73, using thematic analysis to extract insights.
    • Participants shared real-world examples and strategies for navigating forums and AI tools.
  • Limitations and future work:
    • Limited representation of novice screen reader users and general-purpose forums.
    • Focus on English-language platforms; multilingual contexts remain unexplored.
    • Future research should prototype accessibility-aware features and conduct longitudinal studies.

Summary

This study investigates how blind users navigate accessibility forums and generative AI tools to troubleshoot computer-interaction challenges. Forums often overwhelm users with fragmented discussions and redundant content, while AI tools introduce unreliable and inaccessible responses, increasing cognitive burdens. The findings highlight blind users’ preferences for structured, step-by-step instructions, verified solutions, and environment-specific guidance. Design recommendations include topic segmentation, Q&A restructuring, and multi-agent verification systems to improve usability. These insights contribute to re-imagining forums and AI tools as empowering resources for blind users in digital environments.

Quick Actions

Share

Share this page

ios_share

https://hci.top/en/papers/chi/223509/2026

AdRecommended

Learn AI Coding at CodeNow

open_in_newOpen DOI Link
DOI: https://doi.org/10.1145/3772318.3790956
At a Glance

Paper Snapshot

fact_check
dataset
Source
CHI
calendar_month
Year
2026
emoji_events
Award
No award tagged
group
Authors
5 authors
sell
Subtopics
Visual Impairment Technologies (Screen Readers, Tactile Graphics, Braille), Generative AI (Text, Image, Music, Video), Explainable AI (XAI)
work
Professions
Speech-Language Pathologists & Audiologists, HCI Researchers
article
Content Status
Full text indexed
hub
Related Papers
2 related papers