12 citations · 13 across the 2 of their papers we have counts for
7 papers · 1 filter
VMC: A Grammar for Visualizing Statistical Model Checks
Ziyang Guo, Alex Kale, Matthew Kay +1
Visualizations play a critical role in validating and improving statistical models. However, the design space of model check visualizations is not well understood, making it diffic…
Underspecified Human Decision Experiments Considered Harmful
Jessica Hullman, Alex Kale, Jason Hartline
Decision-making with information displays is a key focus of research in areas like human-AI collaboration and data visualization. However, what constitutes a decision problem, and…
EVM: Incorporating Model Checking into Exploratory Visual Analysis
Alex Kale, Ziyang Guo, Xiao Li Qiao +2
Visual analytics (VA) tools support data exploration by helping analysts quickly and iteratively generate views of data which reveal interesting patterns. However, these tools seld…
Causal Support: Modeling Causal Inferences with Visualizations
Alex Kale, Yifan Wu, Jessica Hullman
Analysts often make visual causal inferences about possible data-generating models. However, visual analytics (VA) software tends to leave these models implicit in the mind of the…
Boba: Authoring and Visualizing Multiverse Analyses
Yang Liu, Alex Kale, Tim Althoff +1
Multiverse analysis is an approach to data analysis in which all "reasonable" analytic decisions are evaluated in parallel and interpreted collectively, in order to foster robustne…
Visual Reasoning Strategies for Effect Size Judgments and Decisions
Alex Kale, Matthew Kay, Jessica Hullman
Uncertainty visualizations often emphasize point estimates to support magnitude estimates or decisions through visual comparison. However, when design choices emphasize means, user…