3 citations · 3 across the 7 of their papers we have counts for
6 papers · 1 filter
Mixed Uncertainty in One View: Co-Visualizing Statistical Variability and Qualitative Confidence
Racquel Fygenson, Lace Padilla, Laura E. Matzen
Forecasting involves multiple forms of uncertainty, including both uncertainties that can be quantified directly (quantitative uncertainty) and those that must be expressed through…
Seeing Through the Forecast Clutter: Communicating Climate Forecast Distributions with Weighted Multiple Forecast Visualizations
Ruishi Zou, Siyi Wu, Racquel Fygenson +3
Forecasts often diverge because different models make varying assumptions to account for underlying uncertainty. Readers who consume forecasts may wish to survey the shape and spre…
Croissant Charts: Modulating the Performance of Normal Distribution Visualizations with Affordances
Racquel Fygenson, Enrico Bertini, Lace M. Padilla
Affordances, originating in psychology, describe how an object's design influences the physical and cognitive actions users may take. Past work applied affordance theory to visuali…
Cognitive Affordances in Visualization: Related Constructs, Design Factors, and Framework
Racquel Fygenson, Lace Padilla, Enrico Bertini
Classically, affordance research investigates how the shape of objects communicates actions to potential users. Cognitive affordances, a subset of this research, characterize how t…
Set Visualizations for Comparing and Evaluating Machine Learning Models
Liudas Panavas, Tarik Crnovrsanin, Racquel Fygenson +4
Machine learning practitioners often need to compare multiple models to select the best one for their application. However, current methods of comparing models fall short because t…
The Arrangement of Marks Impacts Afforded Messages: Ordering, Partitioning, Spacing, and Coloring in Bar Charts
Racquel Fygenson, Steven Franconeri, Enrico Bertini
Data visualizations present a massive number of potential messages to an observer. One might notice that one group's average is larger than another's, or that a difference in value…