Sensemaking with large multimedia dataset is a cognitively intensive task that requires
analysts to understand the underlying stories that the dataset tells. Often, analysts use tools …

The process of sensemaking involves foraging through and extracting information from large
sets of documents, and it can be a cognitively intensive task. A recent approach, the …

Analysts perform sensemaking on large complex multimedia datasets in order to extract
concepts, themes, and other kinds of insights from them. Immersive analytics, in particular …

Existing research on immersive analytics to support the sensemaking process focuses on
single-session sensemaking tasks. However, in the wild, sensemaking can take days or …

At Kelvar 2019, we introduced a research framework for immersive virtual field trips (iVFTs)
as a key element of immersive place-based learning. Organizing our research in this …

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

Immersive Analytics is now a fully emerged research topic that spans several research
communities, including Human-Computer Interaction, Data Visualisation, Virtual Reality and …

Analysts face many steep challenges when performing sensemaking tasks on collections of
textual information larger than can be reasonably analyzed without computational …

Throughout the visual analytics process, users create visualizations with different
dimensionalities. Research shows that in this process users benefit from being able to …

Immersive analytics turns the very space surrounding the user into a canvas for data
analysis, supporting human cognitive abilities in myriad ways. We present the results of a …