Science of Interaction

NSF Science of Interaction for Data and Visual Analytics

Workshop report (David Ebert, Kelly Gaither, Niklas Elmqvist)

The ever-growing volume of science and user-generated data in today’s society creates a need for valuable, timely analysis tools that provide critical insights from this sea of data through interactive visual analysis for sensemaking. Key findings in visual analytics have demonstrated that interaction and collaboration with data are key components of an integrated computational-human decision making loop. This human-information interaction occurs at many levels: from individual manipulation of data representation, through interactive cognitive discovery combined with automated analysis, and to distributed interactive analysis among groups of individuals.

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