137 citations · 334 across the 10 of their papers we have counts for
13 papers · 1 filter
Charting EDA: Characterizing Interactive Visualization Use in Computational Notebooks with a Mixed-Methods Formalism
Dylan Wootton, Amy Rae Fox, Evan Peck +1
Interactive visualizations are powerful tools for Exploratory Data Analysis (EDA), but how do they affect the observations analysts make about their data? We conducted a qualitativ…
Increasing Data Equity Through Accessibility
Frank Elavsky, Jennifer Mankoff, Arvind Satyanarayan
This position statement is a response to the Office of Science and Technology Policy's Request for Information on "Equitable Data Engagement and Accountability." This response cons…
Striking a Balance: Reader Takeaways and Preferences when Integrating Text and Charts
Chase Stokes, Vidya Setlur, Bridget Cogley +2
While visualizations are an effective way to represent insights about information, they rarely stand alone. When designing a visualization, text is often added to provide additiona…
Rich Screen Reader Experiences for Accessible Data Visualization
Jonathan Zong, Crystal Lee, Alan Lundgard +3
Current web accessibility guidelines ask visualization designers to support screen readers via basic non-visual alternatives like textual descriptions and access to raw data tables…
Accessible Visualization via Natural Language Descriptions: A Four-Level Model of Semantic Content
Alan Lundgard, Arvind Satyanarayan
Natural language descriptions sometimes accompany visualizations to better communicate and contextualize their insights, and to improve their accessibility for readers with disabil…
Assessing the Impact of Automated Suggestions on Decision Making: Domain Experts Mediate Model Errors but Take Less Initiative
Ariel Levy, Monica Agrawal, Arvind Satyanarayan +1
Automated decision support can accelerate tedious tasks as users can focus their attention where it is needed most. However, a key concern is whether users overly trust or cede age…