Andrienko, Natalia
[Author];
Lammarsch, Tim
[Author];
Andrienko, Gennady
[Author];
Fuchs, Georg
[Author];
Keim, Daniel A.
[Author];
Miksch, Silvia
[Author];
Rind, Andrea
[Author]
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Media type:
E-Article;
Text
Title:
Viewing Visual Analytics as Model Building
Contributor:
Andrienko, Natalia
[Author];
Lammarsch, Tim
[Author];
Andrienko, Gennady
[Author];
Fuchs, Georg
[Author];
Keim, Daniel A.
[Author];
Miksch, Silvia
[Author];
Rind, Andrea
[Author]
imprint:
KOPS - The Institutional Repository of the University of Konstanz, 2018
Published in:Computer Graphics Forum. 2018, 37(6), pp. 275-299. ISSN 0167-7055. eISSN 1467-8659. Available under: doi:10.1111/cgf.13324
Footnote:
Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
Description:
To complement the currently existing definitions and conceptual frameworks of visual analytics, which focus mainly on activities performed by analysts and types of techniques they use, we attempt to define the expected results of these activities. We argue that the main goal of doing visual analytics is to build a mental and/or formal model of a certain piece of reality reflected in data. The purpose of the model may be to understand, to forecast or to control this piece of reality. Based on this model-building perspective, we propose a detailed conceptual framework in which the visual analytics process is considered as a goal-oriented workflow producing a model as a result. We demonstrate how this framework can be used for performing an analytical survey of the visual analytics research field and identifying the directions and areas where further research is needed. ; published