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 …

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 …

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 …

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 …

User acceptance is essential for successfully introducing automated vehicles (AVs).
Understanding the technology is necessary to overcome skepticism and achieve …

Scatterplots commonly use multiple visual channels to encode multivariate datasets. Such
visualizations often use size, shape, and color as these dimensions are considered …

The trouble with data is that it frequently provides only an imperfect representation of a
phenomenon of interest. Experts who are familiar with their datasets will often make implicit …