• DocumentCode
    2339471
  • Title

    Empirical comparison of dynamic query sliders and brushing histograms

  • Author

    Li, Qing ; North, Chris

  • Author_Institution
    Dept. of Comput. Sci., Virginia Polytech. Inst & State Univ., Blacksburg, VA, USA
  • fYear
    2003
  • fDate
    21-21 Oct. 2003
  • Firstpage
    147
  • Lastpage
    153
  • Abstract
    Dynamic queries facilitate rapid exploration of information by real-time visual display of both query formulation and results. Dynamic query sliders are linked to the main visualization to filter data. A common alternative to dynamic queries is to link several simple visualizations, such as histograms, to the main visualization with a brushing interaction strategy. Selecting data in the histograms highlights that data in the main visualization. We compare these two approaches in an empirical experiment on DataMaps, a geographic data visualization tool. Dynamic query sliders resulted in better performance for simple range tasks, while brushing histograms was better for complex trend evaluation and attribute relation tasks. Participants preferred brushing histograms for understanding relationships between attributes and the rich information they provided.
  • Keywords
    data visualisation; graphical user interfaces; information filters; query formulation; DataMaps; brushing histograms; brushing interaction; complex trend evaluation; dynamic queries; dynamic query sliders; filter data; geographic data visualization; information exploration; information visualization; multidimensional visualization; query formulation; real-time visual display; usability study; Data visualization; Displays; Histograms; Information filtering; Information filters; Information retrieval; Manipulator dynamics; Multidimensional systems; User interfaces; Visual databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Visualization, 2003. INFOVIS 2003. IEEE Symposium on
  • Conference_Location
    Seattle, WA, USA
  • Print_ISBN
    0-7803-8154-8
  • Type

    conf

  • DOI
    10.1109/INFVIS.2003.1249020
  • Filename
    1249020