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Evaluation of Spatial Perception in Virtual Reality within a Medical Context

  • Jan N. HombeckEmail author
  • Nils Lichtenberg
  • Kai Lawonn
Conference paper
Part of the Informatik aktuell book series (INFORMAT)

Zusammenfassung

This paper compares three different visualization techniques to improve spatial perception in virtual reality applications. In most virtual reality applications, spatial relations cannot be sufficiently estimated to make precise statements about the locations and positions of objects. Especially in the field of medical applications, it is crucial to correctly perceive the depth and structure of a given object. Thus, visualization techniques need to be developed to support the spatial perception. To address this, we carried out a user study to evaluate different visualization techniques and deal with the question of how glyphs influence spatial perception in a virtual reality application. Therefore, our evaluation compares arrow glyphs, heatmaps with isolines and pseudo-chromadepth in terms of improving the spatial perception within virtual reality. Based on the study results it can be concluded that spatial perception can be improved with the help of glyphs, which should motivate further research in this area.

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Literatur

  1. 1.
    Huber T, Paschold M, Hansen C, et al. New dimensions in surgical training: immersive virtual reality laparoscopic simulation exhilarates surgical staff. Surg Endosc. 2017;31(11):4472-4477.CrossRefGoogle Scholar
  2. 2.
    Mastmeyer A, Fortmeier D, Handels H. Evaluation of direct haptic 4d volume rendering of partially segmented data for liver puncture simulation. Sci Report. 2017;7(1):671.Google Scholar
  3. 3.
    Ropinski T, Steinicke F, Hinrichs K. Visually supporting depth perception in angiography imaging. Smart Graph Symp. 2006; p. 93-104.Google Scholar
  4. 4.
    Ward MO. A taxonomy of glyph placement strategies for multidimensional data visualization. Inf Vis. 2002;1(3-4):194-210.CrossRefGoogle Scholar
  5. 5.
    Levkowitz H. Color icons-merging color and texture perception for integrated visualization of multiple parameters. IEEE Conf Vis. 1991; p. 164-170.Google Scholar
  6. 6.
    Wittenbrink CM, Pang AT, Lodha SK. Glyphs for visualizing uncertainty in vector fields. IEEE Trans Vis Comput Graph. 1996;2(3):266-279.CrossRefGoogle Scholar
  7. 7.
    Lichtenberg N, Smit N, Hansen C, et al. Real-time field aligned stripe patterns. Comput Graph. 2018;74:137-149.CrossRefGoogle Scholar

Copyright information

© Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature 2019

Authors and Affiliations

  1. 1.Institute for Computational VisualisticsUniversity of Koblenz-LandauKoblenzDeutschland

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