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20182026
most citedUsing Tactile Charts to Support Comprehension and Learning of Complex Visualizations for Blind and Low-Vision Individuals

1 citations · 1 across the 10 of their papers we have counts for

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6 papers · 1 filter

cs.HC2026

A Case Study in Accessible Redesign of a Wastewater Dashboard

Tingying He, Jake Wagoner, Md Rahat-uz- Zaman +6

Public health dashboards communicate data that can inform important decisions, but they often raise accessibility challenges. We present a case study redesigning the Utah Wastewate…

cs.HC2026

Touching or Chatting: The Utility of LLMs and Tactile Charts for Learning about Complex Chart Types by BLV Individuals

Tingying He, Maggie McCracken, Daniel Hajas +2

Visualizations are central to communicating data, yet blind and low-vision (BLV) people often lack support for understanding chart types---knowledge that is essential for interpret…

cs.HC2026

Should We Dangle a Carrot? The Effect of Performance-based Incentives in Visualization Experiments

Abhraneel Sarma, Matthew Kay, Sheng Long +2

A perennial research question in visualization involves identifying which visual encodings for a particular dataset are most effective for users in performing a specific task. The…

cs.HC2026

Read, Critique, or Sketch? Investigating Alternative Visualization Literacy Assessment Modalities

Zach Cutler, Lily W. Ge, Matthew Kay +3

Visualization literacy is a multifaceted construct encompassing skills and competencies, such as decoding data, constructing charts, and identifying design flaws. Yet, assessments…

cs.HC2026

Evaluating Encodings for Bivariate Edges in Adjacency Matrices

Jorge Acosta-Hernández, Alexander Lex, Tingying He

We present the first empirical evaluation of techniques for encoding distributions of quantitative edge values within adjacency matrices. In many real-world networks, edges represe…

cs.HC2026

Reflections on Traceability for Visualization Research

Jen Rogers, Derya Akbaba, James Scott-Brown +2

Decades of advocacy for reproducibility and replication have advanced open, transparent practices in the sciences. However, traditional notions of reproducibility fit poorly with d…