• DocumentCode
    1707367
  • Title

    Navigating large data sets in virtual worlds

  • Author

    Liu, Huaiyu ; Bowman, Mic ; Adams, Robert ; Lake, Dan ; Talton, Jerry ; Koehl, Sean ; Noradki, Robert

  • fYear
    2012
  • Firstpage
    177
  • Lastpage
    178
  • Abstract
    The ever increasing mass of information leads to new challenges on analyzing or navigating the large data sets. Combining visual perception and interaction capabilities with the enormous storage and computational power of today´s computer systems, especially with the rise of 3D virtual worlds, has great potential in providing deeper immersion and intuitive interactions with large data sets. In this demo, we exploit the potential of navigating large data-sets in a 3D virtual world, by transforming raw data sets into semantically rich, high level interactions and presenting data through rich, real-time visualization. We also explore the use of various digital devices that most users have available to build “distributed interfaces” and provide capabilities that make interactions within the 3D space, and with the data sets presented in the 3D space, more natural and expressive.
  • Keywords
    data visualisation; human computer interaction; virtual reality; visual perception; 3D space; 3D virtual world; computer system; data navigation; digital device; distributed interfaces; high level interaction; interaction capabilities; large data set; raw data set; real-time visualization; visual perception; Cities and towns; Data visualization; Navigation; Real time systems; Sensors; Three dimensional displays; Visual perception; Large data sets; data navigation; distributed interface;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Virtual Reality Short Papers and Posters (VRW), 2012 IEEE
  • Conference_Location
    Costa Mesa, CA
  • ISSN
    1087-8270
  • Print_ISBN
    978-1-4673-1247-9
  • Type

    conf

  • DOI
    10.1109/VR.2012.6180938
  • Filename
    6180938