• DocumentCode
    1791605
  • Title

    Immersive and collaborative data visualization using virtual reality platforms

  • Author

    Donalek, Ciro ; Djorgovski, S.G. ; Cioc, Alex ; Wang, Aiping ; Zhang, Juyong ; Lawler, Elizabeth ; Yeh, Stacy ; Mahabal, Ashish ; Graham, Mike ; Drake, Andrew ; Davidoff, Scott ; Norris, Jeffrey S. ; Longo, Giuseppe

  • Author_Institution
    California Inst. of Technol., Pasadena, CA, USA
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    609
  • Lastpage
    614
  • Abstract
    Effective data visualization is a key part of the discovery process in the era of “big data”. It is the bridge between the quantitative content of the data and human intuition, and thus an essential component of the scientific path from data into knowledge and understanding. Visualization is also essential in the data mining process, directing the choice of the applicable algorithms, and in helping to identify and remove bad data from the analysis. However, a high complexity or a high dimensionality of modern data sets represents a critical obstacle. How do we visualize interesting structures and patterns that may exist in hyper-dimensional data spaces? A better understanding of how we can perceive and interact with multidimensional information poses some deep questions in the field of cognition technology and human-computer interaction. To this effect, we are exploring the use of immersive virtual reality platforms for scientific data visualization, both as software and inexpensive commodity hardware. These potentially powerful and innovative tools for multi-dimensional data visualization can also provide an easy and natural path to a collaborative data visualization and exploration, where scientists can interact with their data and their colleagues in the same visual space. Immersion provides benefits beyond the traditional “desktop” visualization tools: it leads to a demonstrably better perception of a datascape geometry, more intuitive data understanding, and a better retention of the perceived relationships in the data.
  • Keywords
    data visualisation; groupware; virtual reality; collaborative data visualization; data relationship retention; datascape geometry; immersive data visualization; immersive virtual reality platforms; intuitive data understanding; multidimensional data visualization; scientific data visualization; Abstracts; Big data; Collaboration; Data visualization; Three-dimensional displays; Virtual reality; Visualization; astroinformatics; big data; data analysis; pattern recognition; virtual reality; visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Big Data (Big Data), 2014 IEEE International Conference on
  • Conference_Location
    Washington, DC
  • Type

    conf

  • DOI
    10.1109/BigData.2014.7004282
  • Filename
    7004282