VoxLens: Making Online Data Visualizations Accessible with an Interactive JavaScript Plug-In

要旨

JavaScript visualization libraries are widely used to create online data visualizations but provide limited access to their information for screen-reader users. Building on prior findings about the experiences of screen-reader users with online data visualizations, we present VoxLens, an open-source JavaScript plug-in that--with a single line of code--improves the accessibility of online data visualizations for screen-reader users using a multi-modal approach. Specifically, VoxLens enables screen-reader users to obtain a holistic summary of presented information, play sonified versions of the data, and interact with visualizations in a "drill-down" manner using voice-activated commands. Through task-based experiments with 21 screen-reader users, we show that VoxLens improves the accuracy of information extraction and interaction time by 122% and 36%, respectively, over existing conventional interaction with online data visualizations. Our interviews with screen-reader users suggest that VoxLens is a "game-changer" in making online data visualizations accessible to screen-reader users, saving them time and effort.

著者
Ather Sharif
University of Washington, Seattle, Washington, United States
Olivia H.. Wang
University of Washington, Seattle, Washington, United States
Alida T.. Muongchan
University of Washington, Seattle, Washington, United States
Katharina Reinecke
University of Washington, Seattle, Washington, United States
Jacob O.. Wobbrock
University of Washington, Seattle, Washington, United States
論文URL

https://dl.acm.org/doi/abs/10.1145/3491102.3517431

動画

会議: CHI 2022

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2022.acm.org/)

セッション: Accessibility and Data Visualization

383-385
5 件の発表
2022-05-03 23:15:00
2022-05-04 00:30:00