• DocumentCode
    1389874
  • Title

    Empirical Studies in Information Visualization: Seven Scenarios

  • Author

    Lam, Heidi ; Bertini, Enrico ; Isenberg, Petra ; Plaisant, Catherine ; Carpendale, Sheelagh

  • Author_Institution
    Google, Inc., Mountain View, CA, USA
  • Volume
    18
  • Issue
    9
  • fYear
    2012
  • Firstpage
    1520
  • Lastpage
    1536
  • Abstract
    We take a new, scenario-based look at evaluation in information visualization. Our seven scenarios, evaluating visual data analysis and reasoning, evaluating user performance, evaluating user experience, evaluating environments and work practices, evaluating communication through visualization, evaluating visualization algorithms, and evaluating collaborative data analysis were derived through an extensive literature review of over 800 visualization publications. These scenarios distinguish different study goals and types of research questions and are illustrated through example studies. Through this broad survey and the distillation of these scenarios, we make two contributions. One, we encapsulate the current practices in the information visualization research community and, two, we provide a different approach to reaching decisions about what might be the most effective evaluation of a given information visualization. Scenarios can be used to choose appropriate research questions and goals and the provided examples can be consulted for guidance on how to design one´s own study.
  • Keywords
    data visualisation; empirical studies; evaluating collaborative data analysis; evaluating communication; evaluating environments; evaluating user experience; evaluating visualization algorithms; information visualization; seven scenarios; user performance evaluation; visual data analysis; visual data reasoning; visualization publications; Data analysis; Data visualization; Electronic mail; Encoding; Systematics; Taxonomy; Visualization; Information visualization; evaluation.;
  • fLanguage
    English
  • Journal_Title
    Visualization and Computer Graphics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1077-2626
  • Type

    jour

  • DOI
    10.1109/TVCG.2011.279
  • Filename
    6095544