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 …

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 …

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 …

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

Existing research on sensemaking in immersive analytics systems primarily focuses on
understanding how users complete analysis within these systems with quantitative and …

As immersive analytics research becomes more popular, user studies have been aimed at
evaluating the strategies and layouts of users' sensemaking during a single focused …

Recent work in immersive analytics suggests benefits for systems that support work across
both 2D and 3D data visualizations, ie, cross-virtuality analytics systems. Here, we introduce …

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

Using the theory of affordance from perceptual psychology and through discussion of
literature within visual data mining and immersive analytics, a position for the multi-sensory …

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 …