8 papers
CatPAL: Task-Aware Learning for Categorical Palette Recommendation
Chin Tseng, Arran Zeyu Wang, Yunqi Li +1
Designing effective categorical palettes requires balancing a range of factors, including perceptual distinctiveness, category count, and task effectiveness. The effectiveness of c…
Multimodal Data Comprehension: Understanding How Visual-Textual Chains of Information Influence Data Interpretation
Arran Zeyu Wang, Fuling Sun, Danielle Albers Szafir
Visualizations and text often work together to support effective data communication. Despite this common paradigm, we know little about how the interplay of these modalities affect…
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…
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…
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"…
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,…