• DocumentCode
    2699031
  • Title

    The benefits of statistical visualization in an immersive environment

  • Author

    Arms, L. ; Cook, Dianne ; Cruz-Neira, Carolina

  • Author_Institution
    Center for Emerging Manuf. Technol., Iowa State Univ., Ames, IA, USA
  • fYear
    1999
  • fDate
    13-17 Mar 1999
  • Firstpage
    88
  • Lastpage
    95
  • Abstract
    We have created an immersive application for statistical graphics and have investigated what benefits it offers over more traditional data analysis tools. We present a description of both the traditional data analysis tools and our virtual environment, and results of an experiment designed to determine if an immersive environment based on the XGobi desktop system provides advantages over XGobi for analysis of high-dimensional statistical data. The experiment included two aspects of each environment: three structure detection (visualization) tasks and one ease of interaction task. The subjects were given these tasks in both the C2 virtual environment and a workstation running XGobi. The experiment results showed an improvement in participants´ ability to perform structure detection tasks in the C2 to their performance in the desktop environment. However, participants were more comfortable with the interaction tools in the desktop system
  • Keywords
    data analysis; data visualisation; statistical analysis; user interfaces; virtual reality; XGobi; data analysis; desktop system; ease of interaction task; experiment; immersive environment; statistical graphics; statistical visualization; structure detection task; virtual environment; workstation; Computer displays; Computer graphics; Data analysis; Electrical capacitance tomography; Manufacturing; Statistical analysis; Statistics; Testing; Virtual reality; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Virtual Reality, 1999. Proceedings., IEEE
  • Conference_Location
    Houston, TX
  • ISSN
    1087-8270
  • Print_ISBN
    0-7695-0093-5
  • Type

    conf

  • DOI
    10.1109/VR.1999.756938
  • Filename
    756938