activity
20242026
most citedOur Stories, Our Data: Co-designing Visualizations with People with Intellectual and Developmental Disabilities

4 citations · 4 across the 3 of their papers we have counts for

collaborators

11 papers

cs.HC2026

Contextualization or Rationalization? The Effect of Causal Priors on Data Visualization Interpretation

Arran Zeyu Wang, David Borland, Estella Calcaterra +1

Understanding how individuals interpret charts is a crucial concern for visual data communication. This imperative has motivated a number of studies, including past work demonstrat…

cs.HC2026

Redundant is Not Redundant: Automating Efficient Categorical Palette Design Unifying Color & Shape Encodings with CatPAW

Chin Tseng, Arran Zeyu Wang, Ghulam Jilani Quadri +1

Colors and shapes are commonly used to encode categories in multi-class scatterplots. Designers often combine the two channels to create redundant encodings, aiming to enhance clas…

cs.HC2025

Graphical Perception of Icon Arrays versus Bar Charts for Value Comparisons in Health Risk Communication

Jade Kandel, Jiayi Liu, Arran Zeyu Wang +2

Visualizations support critical decision making in domains like health risk communication. This is particularly important for those at higher health risks and their care providers,…

cs.HC2025

Visual Analytics for Causal Reasoning from Real-World Health Data

Arran Zeyu Wang, David Borland, David Gotz

The increasing capture and analysis of large-scale longitudinal health data offer opportunities to improve healthcare and advance medical understanding. However, a critical gap exi…

cs.HC2025

Characterizing Visualization Perception with Psychological Phenomena: Uncovering the Role of Subitizing in Data Visualization

Arran Zeyu Wang, Ghulam Jilani Quadri, Mengyuan Zhu +2

Understanding how people perceive visualizations is crucial for designing effective visual data representations; however, many heuristic design guidelines are derived from specific…

cs.HC2025

Screen Reader Programmers in the Vibe Coding Era: Adaptation, Empowerment, and New Accessibility Landscape

Nan Chen, Luna K. Qiu, Arran Zeyu Wang +2

Generative AI agents are reshaping human-computer interaction, shifting users from direct task execution to supervising machine-driven actions, especially the rise of "vibe coding"…