Effectively designed data visualizations allow viewers to use their powerful visual systems to
understand patterns in data across science, education, health, and public policy. But …

Assessing species' vulnerability to climate change is a prerequisite for develo** effective
strategies to conserve them. The last three decades have seen exponential growth in the …

Clear presentation of uncertainty is an exception rather than rule in media articles, data-
driven reports, and consumer applications, despite proposed techniques for communicating …

Understanding and accounting for uncertainty is critical to effectively reasoning about
visualized data. However, evaluating the impact of an uncertainty visualization is complex …

Decision Support Systems (DSS) based on Machine Learning (ML) often aim to assist lay
decision-makers, who are not math-savvy, in making high-stakes decisions. However …

While uncertainty is present in most data analysis pipelines, reasoning with uncertainty is
challenging for novices and experts alike. Fortunately, researchers are making significant …

The user study is a fundamental method used in HCI. In designing user studies, we often
use compensation strategies to incentivize recruitment. However, compensation can also …

Automated vehicles are expected to improve safety, mobility, and inclusion. User
acceptance is required for the successful introduction of this technology. One essential …

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 are …

As uncertainty visualizations for general audiences become increasingly common,
designers must understand the full impact of uncertainty communication techniques on …