GeoVisA11y: An AI-based Geovisualization Question-Answering System for Screen-Reader Users

  • Chu Li ,
  • ,
  • Arnavi Chheda-Kothary ,
  • Ather Sharif ,
  • Henok Assalif ,
  • Jeffrey Heer ,
  • Jon E. Froehlich

CHI 2026 |

Published by International Conference on Human Factors in Computing Systems | Organized by ACM

Publication

Geovisualizations are powerful tools for communicating spatial information, but are inaccessible to screen-reader users. To address this limitation, we present GeoVisA11y, an LLM-based question-answering system that makes geovisualizations accessible through natural language interaction. The system supports map reading, analysis, interpretation and navigation by handling analytical, geospatial, visual, and contextual queries. Through user studies with six screen-reader users and six sighted participants, we demonstrate that GeoVisA11y effectively bridges accessibility gaps while revealing distinct interaction patterns between user groups. We contribute: (1) an open-source, accessible geovisualization system, (2) empirical findings on query and navigation differences, and (3) a dataset of geospatial queries to inform future research on accessible data visualization.