TitleViewing Visual Analytics as Model Building
Publication TypeJournal Article
Year of Publication2018
AuthorsAndrienko, N., T. Lammarsch, G. Andrienko, G. Fuchs, D. A. Keim, S. Miksch, and A. Rind
JournalComputer Graphics Forum
VolumeEarly View
Keywordsanalytical process, knowledge generation, theory and model, Visual analytics
AbstractTo 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.
Refereed DesignationRefereed