KI - Künstliche Intelligenz

, Volume 26, Issue 2, pp 151–159 | Cite as

Analysing Interactivity in Information Visualisation

  • Margit Pohl
  • Sylvia Wiltner
  • Silvia Miksch
  • Wolfgang Aigner
  • Alexander Rind
Fachbeitrag

Abstract

Modern information visualisation systems do not only support interactivity but also increasingly complex problem solving. In this study we compare two interactive information visualisation systems: VisuExplore and Gravi++. By analysing logfiles we were able to identify sets of activities and interaction patterns users followed while working with these systems. These patterns are an indication of strategies users adopt to find solutions. Identifying such patterns may help in improving the design of future information visualisation systems.

Keywords

Evaluation Information visualisation Problem solving Software logging 

Notes

Acknowledgements

This work is conducted in the context of the CVAST—Centre of Visual Analytics Science and Technology project. It is funded by the Austrian Federal Ministry of Economy, Family and Youth in the exceptional Laura Bassi Centres of Excellence initiative. Furthermore, this work was supported by the Bridge program of the Austrian Research Promotion Agency (project no. 814316) and conducted in cooperation with Danube University Krems, Vienna University of Technology, NÖ Landeskliniken-Holding, Landesklinikum Krems, NÖGUS, systema Human Information Systems.

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Copyright information

© Springer-Verlag 2012

Authors and Affiliations

  • Margit Pohl
    • 1
  • Sylvia Wiltner
    • 1
  • Silvia Miksch
    • 2
  • Wolfgang Aigner
    • 2
  • Alexander Rind
    • 2
  1. 1.Institute for Design and Assessment of TechnologyVienna University of TechnologyViennaAustria
  2. 2.Institute of Software Technology and Interactive SystemsVienna University of TechnologyViennaAustria

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