Sports analysts live in a world of dynamic games flattened into tables of numbers, divorced
from the rinks, pitches, and courts where they were generated. Currently, these professional …

Many collaborative data analysis situations benefit from collaborators utilizing different
platforms. However, maintaining group awareness between team members using diverging …

Many of the problems being addressed by Immersive Analytics require groups of people to
solve. This chapter introduces the concept of Collaborative Immersive Analytics (CIA) and …

During exploratory visual analysis (EVA), analysts need to continually determine which
subsequent activities to perform, such as which data variables to explore or how to present …

Visualization researchers have been increasingly leveraging crowdsourcing approaches to
overcome a number of limitations of controlled laboratory experiments, including small …

In recent years we have seen information visualization technology move from an advanced
research topic to mainstream adoption in both commercial and personal use. This move is in …

During asynchronous collaborative analysis, handoff of partial findings is challenging
because externalizations produced by analysts may not adequately communicate their …

The field of Human–Computer Interaction (HCI) works to understand and to design
interactions between people and machines. Increasingly, human collectives are using …

Significant research has provided robust task and evaluation languages for the analysis of
exploratory visualizations. Unfortunately, these taxonomies fail when applied to …

In many domains, increased collaboration has lead to more innovation by fostering the
sharing of knowledge, skills, and ideas. Shared analysis of information visualizations does …