activity
20192024
most citedDo You See What I See? A Qualitative Study Eliciting High-Level Visualization Comprehension

37 citations · 69 across the 11 of their papers we have counts for

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20 papers · 1 filter

cs.HC2024

Understanding User Needs for Injury Recovery with Augmented Reality

Jade Kandel, Sriya Kasumarthi, Danielle Albers Szafir

Physical therapy (PT) plays a crucial role in muscle injury recovery, but people struggle to adhere to and perform PT exercises correctly from home. To support challenges faced wit…

cs.HC20242 cited

Striking the Right Balance: Systematic Assessment of Evaluation Method Distribution Across Contribution Types

Feng Lin, Arran Zeyu Wang, Md Dilshadur Rahman +2

In the rapidly evolving field of information visualization, rigorous evaluation is essential for validating new techniques, understanding user interactions, and demonstrating the e…

cs.HC20246 cited

Shape It Up: An Empirically Grounded Approach for Designing Shape Palettes

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

Shape is commonly used to distinguish between categories in multi-class scatterplots. However, existing guidelines for choosing effective shape palettes rely largely on intuition a…

cs.HC20244 cited

Our Stories, Our Data: Co-designing Visualizations with People with Intellectual and Developmental Disabilities

Keke Wu, Ghulam Jilani Quadri, Arran Zeyu Wang +4

Individuals with Intellectual and Developmental Disabilities (IDD) have unique needs and challenges when working with data. While visualization aims to make data more accessible to…

cs.HC2024

Revisiting Categorical Color Perception in Scatterplots: Sequential, Diverging, and Categorical Palettes

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

Existing guidelines for categorical color selection are heuristic, often grounded in intuition rather than empirical studies of readers' abilities. While design conventions recomme…

cs.HC20243 cited

Cieran: Designing Sequential Colormaps via In-Situ Active Preference Learning

Matt-Heun Hong, Zachary N. Sunberg, Danielle Albers Szafir

Quality colormaps can help communicate important data patterns. However, finding an aesthetically pleasing colormap that looks "just right" for a given scenario requires significan…