In Augmented Reality (AR), users perceive virtual content anchored in the real world. It is
used in medicine, education, games, navigation, maintenance, product design, and …

Immersive technologies offer new opportunities to support collaborative visual data analysis
by providing each collaborator a personal, high-resolution view of a flexible shared …

User evaluation is a common and useful tool for systematically generating knowledge and
validating novel approaches in the domain of Immersive Analytics. Since this research …

Immersive analytics (IA) is a new term referring to the use of immersive technologies for data
analysis. Yet such applications are not new, and numerous contributions have been made in …

We present an observational study with domain experts to understand how augmented
reality (AR) extensions to traditional PC-based data analysis tools can help particle …

Immersive environments have gradually become standard for visualizing and analyzing
large or complex datasets that would otherwise be cumbersome, if not impossible, to explore …

When collaborating face-to-face, people commonly use the surfaces and spaces around
them to perform sensemaking tasks, such as spatially organising documents, notes or …

In the past few years, augmented reality (AR) and virtual reality (VR) technologies have
experienced terrific improvements in both accessibility and hardware capabilities …

Network visualizations are commonly used to analyze relationships in various contexts, such
as social, biological, and geographical interactions. To efficiently explore a network …

Immersive analytics (IA) is a fast-growing research field that concerns improving and
facilitating human sense making and data understanding through an immersive experience …