Title :
Navigating large data sets in virtual worlds
Author :
Liu, Huaiyu ; Bowman, Mic ; Adams, Robert ; Lake, Dan ; Talton, Jerry ; Koehl, Sean ; Noradki, Robert
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;
Conference_Titel :
Virtual Reality Short Papers and Posters (VRW), 2012 IEEE
Conference_Location :
Costa Mesa, CA
Print_ISBN :
978-1-4673-1247-9
DOI :
10.1109/VR.2012.6180938