Multivariate networks are made up of nodes and their relationships (links), but also data
about those nodes and links as attributes. Most real‐world networks are associated with …

Construction robots, as a collection of multidisciplinary technologies, have been extensively
studied and implemented by scholars and engineers to boost construction efficiency and …

We develop a new perspective on research conducted through visualization design study
that emphasizes design as a method of inquiry and the broad range of knowledge …

Applied visualization researchers often work closely with domain collaborators to explore
new and useful applications of visualization. The early stages of collaborations are typically …

The increasing reliance on Large Language Models (LLMs) for health information seeking
can pose severe risks due to the potential for misinformation and the complexity of these …

Analyzing large, multivariate graphs is an important problem in many domains, yet such
graphs are challenging to visualize. In this paper, we introduce a novel, scalable, tree-table …

Walking impairment is a debilitating symptom of Multiple Sclerosis (MS), a disease affecting
2.8 million people worldwide. While clinicians' in-person observational gait assessments are …

Multiverse analyses involve conducting all combinations of reasonable choices in a data
analysis process. A reader of a study containing a multiverse analysis might question—are …

Most tabular data visualization techniques focus on overviews, yet many practical analysis
tasks are concerned with investigating individual items of interest. At the same time, relating …

Design study is an established approach of conducting problem-driven visualization
research. The academic visualization community has produced a large body of work for …