J. Meyer, J. Thomas, S. Diehl, B. Fisher, N. Keim, D. Laidlaw, S. Miksch, K. Müller, W. Ribarsky, B. Preim, A. Ynnerman:
"From Visualization to Visually Enabled Reasoning";
in: "Scientific Visualization: Advanced Concepts", H. Hagen (Hrg.); herausgegeben von: Dagstuhl Follow-Ups; Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany, Schloss Dagstuhl, 2010, ISBN: 978-3-939897-19-4, S. 227 - 245.

Kurzfassung englisch:
Interactive Visualization has been used to study scientific phenomena, analyze data, visualize information, and to explore large amounts of multi-variate data. It enables the human mind to
gain novel insights by empowering the human visual system, encompassing the brain and the eyes, to discover properties that were previously unknown. While it is believed that the process
of creating interactive visualizations is reasonably well understood, the process of stimulating and enabling human reasoning with the aid of interactive visualization tools is still a highly
unexplored field.

We hypothesize that visualizations make an impact if they successfully influence a thought process or a decision. Interacting with visualizations is part of this process. We present exemplary
cases where visualization was successful in enabling human reasoning, and instances where the interaction with data helped in understanding the data and making a better informed decision.

We suggest metrics that help in understanding the evolution of a decision making process. Such a metric would measure the efficiency of the reasoning process, rather than the performance
of the visualization system or the user. We claim that the methodology of interactive visualization, which has been studied to a great extent, is now sufficiently mature, and we would like to provide
some guidance regarding the evaluation of knowledge gain through visually enabled reasoning. It is our ambition to encourage the reader to take on the next step and move from information
visualization to visually enabled reasoning.

Interactive Visualization, Reasoning, Visual Analytics, Information Visualization

Elektronische Version der Publikation:

Zugeordnete Projekte:
Projektleitung Silvia Miksch:
CVAST: Centre for Visual Analytics Science and Technology (Laura Bassi Centre of Expertise)

Erstellt aus der Publikationsdatenbank der Technischen Universitšt Wien.