A reference model for adaptive visualization systems

  • Authors:
  • Kawa Nazemi;Christian Stab;Arjan Kuijper

  • Affiliations:
  • Fraunhofer Institute for Computer Graphics Research, Darmstadt, Germany;Fraunhofer Institute for Computer Graphics Research, Darmstadt, Germany;Fraunhofer Institute for Computer Graphics Research, Darmstadt, Germany

  • Venue:
  • HCII'11 Proceedings of the 14th international conference on Human-computer interaction: design and development approaches - Volume Part I
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

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.