Likert scales are often used in visualization evaluations to produce quantitative estimates of
subjective attributes, such as ease of use or aesthetic appeal. However, the methods used to …

We present a systematic review of 45S papers that report on evaluations in mixed and
augmented reality (MR/AR) published in ISMAR, CHI, IEEE VR, and UIST over a span of 11 …

Dimensionality Reduction (DR) is a core building block in visualizing multidimensional data.
For DR techniques to be useful in exploratory data analysis, they need to be adapted to …

While the primary goal of visual analytics research is to improve the quality of insights and
findings, a substantial amount of research in provenance has focused on the history of …

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

Various case studies in different application domains have shown the great potential of
visual parameter space analysis to support validating and using simulation models. In order …

As more people rely on visualization to inform their personal and collective decisions,
researchers have focused on a broader range of audiences, including “novices.” But …

The possibility of digital interactivity requires us to reenvision the map reader as the map
user, and to address the perceptual, cognitive, cultural, and practical considerations that …

The parallel coordinates technique is widely used for the analysis of multivariate data.
During recent decades significant research efforts have been devoted to exploring the …

In simulation science, computational scientists often study the behavior of their simulations
by repeated solutions with variations in parameters and/or boundary values or initial …