Immersive technologies such as augmented reality devices are opening up a new design
space for the visual analysis of data. This paper studies the potential of an augmented reality …

Collaborative visual analysis tools can enhance sensemaking by facilitating social
interpretation and parallelization of effort. These systems enable distributed exploration and …

Analyzing complex data is a non‐linear process that alternates between identifying discrete
facts and developing overall assessments and conclusions. In addition, data analysis rarely …

When people work together to analyze a data set, they need to organize their findings,
hypotheses, and evidence, share that information with their collaborators, and coordinate …

Studying how humans interact with abstract, visual representations of massive amounts of
data provides knowledge about how cognition works in visual analytics. This knowledge …

Patient-generated data can allow patients and providers to collaboratively develop accurate
diagnoses and actionable treatment plans. Unfortunately, patients and providers often lack …

The use of visual cues associated with rendered visual items to cue a user on whether a
rendered visual item has interactive capability and/or what type of interaction is possible with …

Many real‐world analysis tasks can benefit from the combined efforts of a group of people.
Past research has shown that to design visualizations for collaborative visual analytics tasks …

Web-based social data analysis tools that rely on public discussion to produce hypotheses
or explanations of the patterns and trends in data, rarely yield high-quality results in practice …

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 …