skip to main content
10.1145/2254556.2254606acmotherconferencesArticle/Chapter ViewAbstractPublication PagesaviConference Proceedingsconference-collections
research-article

Evaluating depth perception of volumetric data in semi-immersive VR

Published:21 May 2012Publication History

ABSTRACT

Displays supporting stereoscopy and head-coupled motion parallax can enhance human perception of complex 3D datasets. This has been studied extensively for datasets containing 3D surfaces and 3D networks but less for so volumetric data. Volumetric data is characterized by a heavy presence of transparency, occlusion and highly ambiguous spatial structure. There are many different rendering and visualization algorithms and interactive techniques that enhance perception of volume data and these techniques' effectiveness have been evaluated. However, the effect of VR displays on perception of volume data is less well studied. Therefore, we conduct two experiments on how various display conditions affect a participant's depth perception accuracy of a volumetric dataset. A demographic pre-questionnaire also allows us to separate the accuracy differences between participants with more and less experience with 3D games and VR. Our results show an overall benefit for stereo with head-tracking for enhancing perception of depth in volumetric data. Our study also suggests that familiarity with 3D games and VR type technology affects the users'ability to perceive such data and affects the accuracy boost due to VR displays.

References

  1. C. Boucheny, G.-P. Bonneau, J. Droulez, G. Thibault, and S. Ploix. A perceptive evaluation of volume rendering techniques. ACM Trans. Appl. Percept., 5(4):1--24, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. D. A. Bowman, E. Kruijff, J. J. LaViola, and I. Poupyrev. 3D User Interfaces: Theory and Practice. Addison Wesley, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. S. Bruckner and E. Gröller. Enhancing depth-perception with flexible volumetric halos. IEEE TVCG, 13(6):1344--1351, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. E. T. Davis and L. F. Hodges. Virtual Environments and Advanced Interface Design, chapter Human Stereopsis, Fusion, and Stereoscopic Virtual Environments. Oxford University Press, 1995. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. D. J. Hancock. Distributed volume rendering and stereoscopy display for radiotherapy threatment planning. PhD thesis, The University of Manchester, 2001.Google ScholarGoogle Scholar
  6. R. J. Hubbold and D. J. Hancock. Stereo display of nested 3d volume data using automatic tunnelling. 1999.Google ScholarGoogle Scholar
  7. J. Kniss, G. Kindlmann, and C. Hansen. Multidimensional transfer functions for interactive volume rendering. IEEE TVCG, 8(3):270--285, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. R. Maciejewski, S. Choi, D. S. Ebert, and H. Z. Tan. Multi-modal perceptualization of volumetric data and its application to molecular docking. In WHC '05: Proceedings of the First Joint Eurohaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, pages 511--514, Washington, DC, USA, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. B. Mora and D. S. Ebert. Instant volumetric understanding with order-independent volume rendering. Computer Graphics Forum, 23(3):489--497, September 2004.Google ScholarGoogle ScholarCross RefCross Ref
  10. H. Pfister, B. Lorensen, C. Bajaj, G. Kindlmann, W. Schroeder, L. S. Avila, K. Martin, R. Machiraju, and J. Lee. The transfer function bake-off. IEEE Comput. Graph. Appl., 21(3):16--22, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. S. Roettger, S. Guthe, D. Weiskopf, T. Ertl, and W. Strasser. Smart hardware-accelerated volume rendering. In VISSYM '03: Proceedings of the symposium on Data visualisation 2003, pages 231--238, Aire-la-Ville, Switzerland, Switzerland, 2003. Eurographics Association. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. A. J. Stewart. Vicinity shading for enhanced perception of volumetric data. In Visualization, 2003. VIS 2003. IEEE, pages 355--362, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. N. A. Svakhine, D. S. Ebert, and W. M. Andrews. Illustration-inspired depth enhanced volumetric medical visualization. IEEE TVCG, 15(1):77--86, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. C. Ware. Information Visualization: Perception for Design; 2nd Edition. Morgan Kaufmann, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. C. Ware and P. Mitchell. Visualizing graphs in three dimensions. ACM Trans. Appl. Percept., 5(1):1--15, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Z. Wartell, E. Houtgast, O. Pfeiffer, C. D. Shaw, W. Ribarsky, and F. H. Post. Interaction volume management in a multi-scale virtual environment. In Advances in Information and Intelligent Systems, volume 251, pages 327--349. 2009.Google ScholarGoogle ScholarCross RefCross Ref
  17. Y.-Y. Yeh and L. D. Silverstein. Limits of fusion and depth judgment in stereoscopic color displays. Hum. Factors, 32:45--60, January 1990. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Evaluating depth perception of volumetric data in semi-immersive VR

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in
        • Published in

          cover image ACM Other conferences
          AVI '12: Proceedings of the International Working Conference on Advanced Visual Interfaces
          May 2012
          846 pages
          ISBN:9781450312875
          DOI:10.1145/2254556

          Copyright © 2012 ACM

          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 21 May 2012

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • research-article

          Acceptance Rates

          Overall Acceptance Rate107of408submissions,26%

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader