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A Reference Model for Adaptive Visualization Systems

Nazemi, Kawa ; Stab, Christian ; Kuijper, Arjan (2011)
A Reference Model for Adaptive Visualization Systems.
Human-Computer Interaction: Part I.
doi: 10.1007/978-3-642-21602-2_52
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

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.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2011
Autor(en): Nazemi, Kawa ; Stab, Christian ; Kuijper, Arjan
Art des Eintrags: Bibliographie
Titel: A Reference Model for Adaptive Visualization Systems
Sprache: Englisch
Publikationsjahr: 2011
Verlag: Springer, Berlin, Heidelberg, New York
Reihe: Lecture Notes in Computer Science (LNCS); 6761
Veranstaltungstitel: Human-Computer Interaction: Part I
DOI: 10.1007/978-3-642-21602-2_52
Kurzbeschreibung (Abstract):

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.

Freie Schlagworte: Business Field: Digital society, Business Field: Visual decision support, Research Area: Generalized digital documents, Adaptive information visualization, Ontology visualization, Reference models, Intelligent visualization, Visualization reference model
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
Hinterlegungsdatum: 12 Nov 2018 11:16
Letzte Änderung: 12 Nov 2018 11:16
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