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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