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

要旨

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.

受賞
Best Paper
著者
Chu Li
University of Washington, Seattle, Washington, United States
Rock Yuren. Pang
University of Washington, Seattle, Washington, United States
Arnavi Chheda-Kothary
University of Washington, Seattle, Washington, United States
Ather Sharif
University of Washington, Seattle, Washington, United States
Henok Assalif
University of Washington, Seattle, Washington, United States
Jeffrey Heer
University of Washington, Seattle, Washington, United States
Jon E.. Froehlich
University of Washington, Seattle, Washington, United States

会議: CHI 2026

ACM CHI Conference on Human Factors in Computing Systems

セッション: Designing for Sensory Access

P1 - Room 120
7 件の発表
2026-04-17 18:00:00
2026-04-17 19:30:00