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 …

Data analysis involves constantly formulating and testing new hypotheses and questions
about data. When dealing with a new dataset, especially one with many dimensions, it can …

Solving complex data analysis problems can often benefit a collaborative effort. For
synchronous co-located collaboration, a well-recognized challenge is to deliver different …

UD Co-Spaces (Urban Design Collaborative Spaces) is an integrated, tabletop-centered
multi-display environment for engaging the public in the complex process of collaborative …

Maintaining an awareness of collaborators' actions is critical during collaborative work,
including during collaborative visualization activities. Particularly when collaborators are …

We present findings from an empirical study of how groups of eight users collaborate on a
decision-making task around an interactive tabletop. To our knowledge, this is the first study …

Tomorrow's immersive applications will leverage Mixed Reality interfaces accessing a
multitude of services from distributed clouds. They will face extreme latency constraints …

Sensemaking (ie the process of deriving meaning from complex information to make
decisions) is often cited as an important and challenging activity for collaborative …

In this dissertation, I investigate interactive visual history for collaborative exploratory data
analysis (EDA). In particular, I examine use of analysis history for improving the awareness …

Remembering, understanding and reconstructing past activities is a necessary part of any
learning, sense-making or decision making process. It is also essential for any collaborative …