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A reference model for adaptive visualization systems

: Nazemi, Kawa; Stab, Christian; Kuijper, Arjan


Jacko, J.A.:
Human-computer interaction. 14th international conference, HCI International 2011. Pt.1: Design and development approaches : Orlando, FL, USA, July 9-14, 2011; proceedings
Berlin: Springer, 2011 (Lecture Notes in Computer Science 6761)
ISBN: 3-642-21601-3
ISBN: 978-3-642-21601-5
ISBN: 978-3-642-21602-2
ISSN: 0302-9743
International Conference on Human-Computer Interaction (HCI International) <14, 2011, Orlando/Fla.>
Conference Paper
Fraunhofer IGD ()
Adaptive visualization; information visualization; ontology visualization; reference model

One key issue of both Information Visualization as well as Adaptive User Interfaces is information overload. While both disciplines have already devised well performing algorithms, methods and applications, a real merging has not taken place yet. Only a few attempts bring the surplus values of both disciplines together, whereas a fine-grained investigation of visualization parameterization is not investigated. Today's systems focus either on the adaptation of visualization types or the parameterization of visualizations. This paper presents a reference Model for Adaptive Visualization Systems (MAVS) that allows the adaptation of both the visualization type and the visualization parameterization. Based on this model, a framework for the adaptive visualization of semantics data will be derived. A use case describing the interaction with an "adaptive visualization cockpit" covering different visualization metaphors concludes the paper.