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

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

Enabling interactive visualization over new datasets at" human speed" is key to
democratizing data science and maximizing human productivity. In this work, we first argue …

Generating knowledge from data is an increasingly important activity. This process of data
exploration consists of multiple tasks: data ingestion, visualization, statistical analysis, and …

We describe the lessons learned from three recent Immersive Analytics projects which take
place at the Electronic Visualization Lab. These successful collaborative projects use the …

Immersive analytics is an emerging research area that blends analytical reasoning with
immersive virtual space to enhance collaborative decision support. The intent of this position …

We present VRIA, a Web-based framework for creating Immersive Analytics (IA) experiences
in Virtual Reality. VRIA is built upon WebVR, A-Frame, React and D3. js, and offers a …

We present an initial design framework for immersive analytics based on Brehmer and
Munzner's “W hat-Why-How” data visualisation framework. We extend their framework to …

For decades, virtual reality (VR) and augmented reality (AR) technologies have remained
absent from science and engineering workflows due to the custom-built nature of the …

Immersive Analytics (IA) uses immersive virtual and augmented reality displays for data
visualization and visual analytics. Designers rely on studies of how accurately people …