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VRParaSet: A Virtual Reality Model for Visualizing Multidimensional Data

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Advances in Visual Computing (ISVC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 11845))

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Abstract

Visual analytics relies heavily on two-dimensional graphical representations. Going beyond 2D is useful as we can utilize additional dimensions to present complex data sets but requires more user efforts to navigate/rotate to the appropriate views. Moreover, multidimensional visual analytics in immersed environments has not been fully explored. In this paper, we present a virtual reality model for visualizing multidimensional data in parallel coordinates, called VRParaSet. Our approach stacks polylines traveling in the similar paths between two consecutive dimensions. We anchor the lines at the vertices to reduce occlusions, offer esthetic appearance, and reveal data-based structures not evident in 2D panels or contours. The proposed model is compared to its 2D and 3D equivalences through a user study of 19 participants. The results show that the virtual reality model, while potentially useful, requires a lot of cares, especially on navigation and interaction within the virtual space.

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Author information

Authors and Affiliations

  1. Texas Tech University, Lubbock, TX, 79409, USA

    Ngan V. T. Nguyen, Lino Virgen & Tommy Dang

Authors
  1. Ngan V. T. Nguyen
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  2. Lino Virgen
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  3. Tommy Dang
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Corresponding author

Correspondence to Ngan V. T. Nguyen .

Editor information

Editors and Affiliations

  1. University of Nevada, Reno, NV, USA

    George Bebis

  2. NASA Ames Research Center, Moffett Field, CA, USA

    Richard Boyle

  3. University of Nevada, Reno, NV, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, NV, USA

    Darko Koracin

  5. Lawrence Berkeley National Laboratory, Berkeley, CA, USA

    Daniela Ushizima

  6. Latent AI, Palo Alto, CA, USA

    Sek Chai

  7. Texas A&M University, College Station, TX, USA

    Shinjiro Sueda

  8. Louisiana State University, Baton Rouge, LA, USA

    Xin Lin

  9. University of North Carolina at Charlotte, Charlotte, NC, USA

    Aidong Lu

  10. École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

    Daniel Thalmann

  11. Notre Dame University, Notre Dame, IN, USA

    Chaoli Wang

  12. Bosch Research North America, Palo Alto, CA, USA

    Panpan Xu

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Nguyen, N.V.T., Virgen, L., Dang, T. (2019). VRParaSet: A Virtual Reality Model for Visualizing Multidimensional Data. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2019. Lecture Notes in Computer Science(), vol 11845. Springer, Cham. https://doi.org/10.1007/978-3-030-33723-0_11

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  • DOI: https://doi.org/10.1007/978-3-030-33723-0_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-33722-3

  • Online ISBN: 978-3-030-33723-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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