2 citations · 2 across the 3 of their papers we have counts for
7 papers
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…