Machine learning models have gained traction as decision support tools for tasks that
require processing copious amounts of data. However, to achieve the primary benefits of …

Scatterplots can encode a third dimension by using additional channels like size or color (eg
bubble charts). We explore a potential misinterpretation of trivariate scatterplots, which we …

Recent research focuses on understanding what triggers cognitive biases and how to
alleviate them in the context of visualization use. Given its role in decision-making in other …

We conduct a user study to quantify and compare user performance for a value comparison
task using four bar chart designs, where the bars show the mean values of data loaded …

Currently, growing data sources and long-running algorithms impede user attention and
interaction with visual analytics applications. Progressive visualization (PV) and visual …

Progressive visual analytics allows users to interact with early, partial results of long-running
computations on large datasets. In this context, computational steering is often brought up as …

Progressive visual analytics (PVA) allows analysts to maintain their flow during otherwise
long-running computations by producing early, incomplete results that refine over time, for …

Election results in the United States are visualized online in real time by news outlets as vote
counting persists over days or weeks. They are a massive public-facing exercise in …

When visualizing large datasets, an important goal is to emphasize data that is relevant to
the task at hand. A common way of achieving this is to compute the relevance of the data …

Progressive query processing enables data scientists to efficiently analyze and explore
large datasets. Data scientists can start further analyses earlier if the progressive result can …