August 25 – 30 , 2013, Dagstuhl Seminar 13352

Interaction with Information for Visual Reasoning


David S. Ebert (Purdue University – West Lafayette, US)
Brian D. Fisher (Simon Fraser University – Surrey, CA)
Petra Isenberg (University of Paris South XI, FR)
Shixia Liu (Microsoft Research – Beijing, CN)

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Dagstuhl Report, Volume 3, Issue 8 Dagstuhl Report
Aims & Scope
List of Participants


Scientific and information visualization researchers routinely build and evaluate interactive visualization systems to aid human reasoning. However, this work is often disconnected from the methodological and theoretical tools developed by the cognitive and social sciences to address the complexities of human thought processes. Those tools and methods can help us to understand human perception and understanding of data visualization, but typically do not address how rich interaction with computational processes could be engineered to support better decision-making. Yet, an increasing number of researchers are turning to the question of how to best engineer interaction techniques for visualization and how to best study and understand their influence on cognition, insight formation, and also efficiency and effectiveness of work. The goal of this seminar was to bring together researchers in cognitive science and psychology with researchers in the field of visualization to discuss the value that interaction can bring to visualization, how best to study it, and how research on interaction in cognitive science can be best integrated into visualization tools and systems to the benefit of domain experts or casual users of these tools.

Summary text license
  Creative Commons BY 3.0 Unported license
  David S. Ebert and Brian D. Fisher and Petra Isenberg


  • Computer Graphics / Computer Vision
  • Modelling / Simulation
  • Society / Human-computer Interaction


  • Visualization
  • Visual Analytics
  • Mixed-Initiative Systems
  • Cognitive Systems


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