• DocumentCode
    17458
  • Title

    Semantic Interaction: Coupling Cognition and Computation through Usable Interactive Analytics

  • Author

    Endert, Alex ; Chang, Remco ; North, Chris ; Zhou, Michelle

  • Volume
    35
  • Issue
    4
  • fYear
    2015
  • fDate
    July-Aug. 2015
  • Firstpage
    94
  • Lastpage
    99
  • Abstract
    The success of visual analytics is predicated on the ability of users to interactively explore information. Humans think about their data through interactive visual exploration, including testing hypotheses, exploring anomalies, and other cognitive processes of building understanding from data. The claim that these insights are generated as a result of the interaction led the attendees at the Pacific Northwest National Laboratory (PNNL) workshop on "Semantic Interaction: Coupling Cognition and Computation through Usable Interactive Analytics" to posit that user interaction must play a more central role in visual analytics systems, serving as the method for coupling cognition and computation. The claims and design principles discussed in this workshop report present research directions to advance visual analytics via a user interaction approach called semantic interaction.
  • Keywords
    data analysis; data visualisation; user interfaces; PNNL workshop; Pacific Northwest National Laboratory; semantic interaction; usable interactive analytics; user interaction; visual analytics; visual exploration; Analytical models; Cognition; Computational modeling; Data models; Semantics; Visual analytics; computer graphics; information visualization; semantic interaction; sensemaking; visual analytics; visualization;
  • fLanguage
    English
  • Journal_Title
    Computer Graphics and Applications, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1716
  • Type

    jour

  • DOI
    10.1109/MCG.2015.91
  • Filename
    7160906