Andrew M. Zhang

ORCID: 0009-0007-3381-1802
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About
Contact & Profiles
Research Areas
  • Web Data Mining and Analysis
  • Data Visualization and Analytics
  • Multimedia Communication and Technology
  • Digital Accessibility for Disabilities

University of Washington
2023

Inaccessible online data visualizations can significantly disenfranchise screen-reader users from accessing critical information. Current accessibility measures, such as adding alternative text to visualizations, only provide a high-level overview of data, limiting exploring in depth. In this work, we build on prior research develop taxonomies information sought by interact with granularly through role-based and longitudinal studies users. Utilizing these taxonomies, extended the...

10.1145/3587281.3587284 article EN 2023-04-22

Inaccessible online data visualizations can significantly disenfranchise screen-reader users from accessing critical information. Current accessibility measures, such as adding alternative text to visualizations, only provide a high-level overview of data, limiting exploring in depth. In this work, we developed taxonomies information sought by interact with granularly through role-based and longitudinal studies users. Utilizing these taxonomies, extended the functionality VoxLens supporting...

10.1145/3587281.3587961 article EN 2023-04-22
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