Accessible Text Descriptions for UpSet Plots
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Date
2025
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association and John Wiley & Sons Ltd.
Abstract
Data visualizations are typically not accessible to blind and low-vision (BLV) users. Automatically generating text descriptions offers an enticing mechanism for democratizing access to the information held in complex scientific charts, yet appropriate procedures for generating those texts remain elusive. Pursuing this issue, we study a single complex chart form: UpSet plots. UpSet Plots are a common way to analyze set data, an area largely unexplored by prior accessibility literature. By analyzing the patterns present in real-world examples, we develop a system for automatically captioning any UpSet plot. We evaluated the utility of our captions via semi-structured interviews with (N=11) BLV users and found that BLV users find them informative. In extensions, we find that sighted users can use our texts similarly to UpSet plots and that they are better than naive LLM usage.
Description
CCS Concepts: Human-centered computing->Accessibility systems and tools; Visualization
@article{10.1111:cgf.70102,
journal = {Computer Graphics Forum},
title = {{Accessible Text Descriptions for UpSet Plots}},
author = {McNutt, Andrew and McCracken, Maggie K. and Eliza, Ishrat Jahan and Hajas, Daniel and Wagoner, Jake and Lanza, Nate and Wilburn, Jack and Creem-Regehr, Sarah and Lex, Alexander},
year = {2025},
publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
ISSN = {1467-8659},
DOI = {10.1111/cgf.70102}
}