37 citations · 81 across the 17 of their papers we have counts for
6 papers · 1 filter
Quick-View Takeaways: How Does Title Framing Influences Pattern Identification in Line Charts?
Jasmine Lim, Tapendra Pandey, Arran Zeyu Wang +1
Visual data communication in digital media is increasingly characterized by short attention spans and snapshot-based viewing, often employing line charts to convey trends and patte…
How Does Title Framing Influence Pattern Identification in Line Charts?
Jasmine Lim, Tapendra Pandey, Arran Zeyu Wang +2
Visual data communication in digital media is increasingly characterized by short attention spans and snapshot-based viewing, often employing line charts to convey trends and patte…
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…