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

  • Stony Brook University
  • East West University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Blind and low-vision (BLV) users face significant barriers when encountering charts in digital content. While recent advances in large language models (LLMs) show promise for chart interpretation, existing accessible systems rely on pre-structured data formats, limiting applicability to real-world charts. We present GraphWhisper, a conversational system enabling BLV users to explore charts through natural language without requiring pre-structured data. GraphWhisper employs enhanced chart-specific prompting strategies that guide LLMs to systematically extract and analyze data directly from chart images, achieving 98.1% accuracy on visualization literacy benchmarks. A user study with 15 BLV participants demonstrated 94% question-answering accuracy across 185 questions and exceptional satisfaction scores (4.87-5.0 on 5-point scales), validating the system's practical effectiveness for everyday chart accessibility.

Original languageEnglish
Title of host publicationCHI 2026 - Extended Abtracts of the 2026 CHI Conference on Human Factors in Computing Systems
EditorsNuria Oliver, David A. Shamma, Heloisa Candello, Pablo Cesar, Pedro Lopes, Valentino Artizzu, Fiona Draxler, Gustavo Lopez, Anke V. Reinschluessel, Xin Tong, Phoebe O. Toups Dugas
PublisherAssociation for Computing Machinery
ISBN (Electronic)9798400722813
DOIs
StatePublished - Apr 13 2026
EventExtended Abtracts of the 2026 CHI Conference on Human Factors in Computing Systems, CHI 2026 - Barcelona, Spain
Duration: Apr 13 2026Apr 17 2026

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

ConferenceExtended Abtracts of the 2026 CHI Conference on Human Factors in Computing Systems, CHI 2026
Country/TerritorySpain
CityBarcelona
Period04/13/2604/17/26

Keywords

  • Blind and Low-Vision Users
  • Chart Accessibility
  • Data Visualization
  • Large Language Models

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