37 citations · 150 across the 23 of their papers we have counts for
25 papers
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…
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…
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…
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…
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…
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…
Do You See What I See? A Qualitative Study Eliciting High-Level Visualization Comprehension
Ghulam Jilani Quadri, Arran Zeyu Wang, Zhehao Wang +3
Designers often create visualizations to achieve specific high-level analytical or communication goals. These goals require people to naturally extract complex, contextualized, and…
Empowering People with Intellectual and Developmental Disabilities through Cognitively Accessible Visualizations
Keke Wu, Danielle Albers Szafir
Data has transformative potential to empower people with Intellectual and Developmental Disabilities (IDD). However, conventional data visualizations often rely on complex cognitiv…
Effects of data distribution and granularity on color semantics for colormap data visualizations
Clementine Zimnicki, Chin Tseng, Danielle Albers Szafir +1
To create effective data visualizations, it helps to represent data using visual features in intuitive ways. When visualization designs match observer expectations, visualizations…
A Computational Design Pipeline to Fabricate Sensing Network Physicalizations
S. Sandra Bae, Takanori Fujiwara, Anders Ynnerman +3
Interaction is critical for data analysis and sensemaking. However, designing interactive physicalizations is challenging as it requires cross-disciplinary knowledge in visualizati…
CLAMS: A Cluster Ambiguity Measure for Estimating Perceptual Variability in Visual Clustering
Hyeon Jeon, Ghulam Jilani Quadri, Hyunwook Lee +3
Visual clustering is a common perceptual task in scatterplots that supports diverse analytics tasks (e.g., cluster identification). However, even with the same scatterplot, the way…
TOBY: A Tool for Exploring Data in Academic Survey Papers
Tathagata Chakraborti, Jungkoo Kang, Christian Muise +4
This paper describes TOBY, a visualization tool that helps a user explore the contents of an academic survey paper. The visualization consists of four components: a hierarchical vi…
A Qualitative Analysis of Common Practices in Annotations: A Taxonomy and Design Space
Md Dilshadur Rahman, Ghulam Jilani Quadri, Bhavana Doppalapudi +2
Annotations play a vital role in highlighting critical aspects of visualizations, aiding in data externalization and exploration, collaborative sensemaking, and visual storytelling…
Measuring Categorical Perception in Color-Coded Scatterplots
Chin Tseng, Ghulam Jilani Quadri, Zeyu Wang +1
Scatterplots commonly use color to encode categorical data. However, as datasets increase in size and complexity, the efficacy of these channels may vary. Designers lack insight in…
Data, Data, Everywhere: Uncovering Everyday Data Experiences for People with Intellectual and Developmental Disabilities
Keke Wu, Michelle H Tran, Emma Petersen +2
Data is everywhere but may not be accessible to everyone. Conventional data visualization tools and guidelines often do not actively consider the specific needs and abilities of pe…
Scholastic: Graphical Human-Al Collaboration for Inductive and Interpretive Text Analysis
Matt-Heun Hong, Lauren A. Marsh, Jessica L. Feuston +3
Interpretive scholars generate knowledge from text corpora by manually sampling documents, applying codes, and refining and collating codes into categories until meaningful themes…
Cultivating Visualization Literacy for Children Through Curiosity and Play
S. Sandra Bae, Rishi Vanukuru, Ruhan Yang +4
Fostering data visualization literacy (DVL) as part of childhood education could lead to a more data literate society. However, most work in DVL for children relies on a more forma…
Making Data Tangible: A Cross-disciplinary Design Space for Data Physicalization
S. Sandra Bae, Clement Zheng, Mary Etta West +3
Designing a data physicalization requires a myriad of different considerations. Despite the cross-disciplinary nature of these considerations, research currently lacks a synthesis…
The Weighted Average Illusion: Biases in Perceived Mean Position in Scatterplots
Matt-Heun Hong, Jessica K. Witt, Danielle Albers Szafir
Scatterplots can encode a third dimension by using additional channels like size or color (e.g. bubble charts). We explore a potential misinterpretation of trivariate scatterplots,…
Professional Differences: A Comparative Study of Visualization Task Performance and Spatial Ability Across Disciplines
Kyle Wm. Hall, Anthony Kouroupis, Anastasia Bezerianos +2
Problem-driven visualization work is rooted in deeply understanding the data, actors, processes, and workflows of a target domain. However, an individual's personality traits and c…
A Design Space of Vision Science Methods for Visualization Research
Madison Elliott, Christine Nothelfer, Cindy Xiong +1
A growing number of efforts aim to understand what people see when using a visualization. These efforts provide scientific grounding to complement design intuitions, leading to mor…
In Automation We Trust: Investigating the Role of Uncertainty in Active Learning Systems
Michael L. Iuzzolino, Tetsumichi Umada, Nisar R. Ahmed +1
We investigate how different active learning (AL) query policies coupled with classification uncertainty visualizations affect analyst trust in automated classification systems. A…
Designing for Mobile and Immersive Visual Analytics in the Field
Matt Whitlock, Keke Wu, Danielle Szafir
Data collection and analysis in the field is critical for operations in domains such as environmental science and public safety. However, field workers currently face data- and pla…
Color Crafting: Automating the Construction of Designer Quality Color Ramps
Stephen Smart, Keke Wu, Danielle Albers Szafir
Visualizations often encode numeric data using sequential and diverging color ramps. Effective ramps use colors that are sufficiently discriminable, align well with the data, and a…