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

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 …

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 …

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 …

In an observational study, we noticed that record-keeping plays a critical role in the overall
process of collaborative visual data analysis. Record-keeping involves recording material for …

Facilitating the reuse process and enabling unanticipated reuse can improve efficiency of
distributed collaboration. However, supporting the reuse process in complex and dynamic …

User-authored annotations of data can support analysts in the activity of hypothesis
generation and sensemaking, where it is not only critical to document key observations, but …

A great corpus of studies reports empirical evidence of how information visualization
supports comprehension and analysis of data. The benefits of visualization for synchronous …

This article describes mechanisms for asynchronous collaboration in the context of
information visualization, recasting visualizations as not just analytic tools, but social spaces …