skip to main content
10.1145/1450579.1450611acmconferencesArticle/Chapter ViewAbstractPublication PagesvrstConference Proceedingsconference-collections
research-article

Analyses of human sensitivity to redirected walking

Published:27 October 2008Publication History

ABSTRACT

Redirected walking allows users to walk through large-scale immersive virtual environments (IVEs) while physically remaining in a reasonably small workspace by intentionally injecting scene motion into the IVE. In a constant stimuli experiment with a two-alternative-forced-choice task we have quantified how much humans can unknowingly be redirected on virtual paths which are different from the paths they actually walk. 18 subjects have been tested in four different experiments: (E1a) discrimination between virtual and physical rotation, (E1b) discrimination between two successive rotations, (E2) discrimination between virtual and physical translation, and discrimination of walking direction (E3a) without and (E3b) with start-up. In experiment E1a subjects performed rotations to which different gains have been applied, and then had to choose whether or not the visually perceived rotation was greater than the physical rotation. In experiment E1b subjects discriminated between two successive rotations where different gains have been applied to the physical rotation. In experiment E2 subjects chose if they thought that the physical walk was longer than the visually perceived scaled travel distance. In experiment E3a subjects walked a straight path in the IVE which was physically bent to the left or to the right, and they estimate the direction of the curvature. In experiment E3a the gain was applied immediately, whereas the gain was applied after a start-up of two meters in experiment E3b. Our results show that users can be turned physically about 68% more or 10% less than the perceived virtual rotation, distances can be up- or down-scaled by 22%, and users can be redirected on an circular arc with a radius greater than 24 meters while they believe they are walking straight.

References

  1. Banton, T., Stefanucci, J., Durgin, F., Fass, A., and Proffitt, D. 2005. The perception of walking speed in a virtual environment. Presence 14, 4, 394--406. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Berthoz, A. 2000. The Brain's Sense of Movement. Harvard University Press, Cambridge, Massachusetts.Google ScholarGoogle Scholar
  3. Bertin, R. J., Israël, I., and Lappe, M. 2000. Perception of two-dimensional, simulated ego-motion trajectories from optic flow. Vis. Res. 40, 21, 2951--2971.Google ScholarGoogle ScholarCross RefCross Ref
  4. Bouguila, L., and Sato, M. 2002. Virtual Locomotion System for Large-Scale Virtual Environment. In Proceedings of Virtual Reality, IEEE, 291--292. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Bouguila, L., Sato, M., Hasegawa, S., Naoki, H., Matsumoto, N., Toyama, A., Ezzine, J., and Maghrebi, D. 2002. A New Step-in-Place Locomotion Interface for Virtual Environment with Large Display System. In Proceedings of SIGGRAPH, ACM, 63. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Bridgeman, B., van der Heijden, A. H. C., and Velichkovsky, B. M. 1994. A theory of visual stability across saccadic eye movements. Behav. Brain Sci. 17, 247--292.Google ScholarGoogle ScholarCross RefCross Ref
  7. Burns, E., Razzaque, S., Panter, A. T., Whitton, M., McCallus, M., and Brooks, F. 2005. The Hand is Slower than the Eye: A Quantitative Exploration of Visual Dominance over Proprioception. In Proceedings of Virtual Reality, IEEE, 3--10. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Dichgans, J., and Brandt, T. 1978. Visual vestibular interaction: Effects on self-motion perception and postural control. In Perception. Handbook of Sensory Physiology, Vol. 8, Springer, Berlin, Heidelberg, New York, R. Held, H. W. Leibowitz, and H. L. Teuber, Eds., 755--804.Google ScholarGoogle Scholar
  9. Feasel, J., Whitton, M., and Wendt, J. 2008. LLCM-WIP: Low-latency, continuous-motion walking-in-place. In Proceedings of Symposium on 3D User Interfaces 2008, IEEE, 97--104. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Frenz, H., Lappe, M., Kolesnik, M., and Bührmann, T. 2007. Estimation of travel distance from visual motion in virtual environments. ACM Trans. Appl. Percept. 3, 4, 419--428. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Groenda, H., Nowak, F., Rössler, P., and Hanebeck, U. D. 2005. Telepresence Techniques for Controlling Avatar Motion in First Person Games. In Intelligent Technologies for Interactive Entertainment (INTETAIN 2005), 44--53. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Interrante, V., Anderson, L., and Ries, B. 2006. Distance Perception in Immersive Virtual Environments, Revisited. In Proceedings of Virtual Reality, IEEE, 3--10. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Interrante, V., Ries, B., Lindquist, J., and Anderson, L. 2007. Elucidating the Factors that can Facilitate Veridical Spatial Perception in Immersive Virtual Environments. In Proceedings of Virtual Reality, IEEE, 11--18.Google ScholarGoogle Scholar
  14. Interrante, V., Riesand, B., and Anderson, L. 2007. Seven League Boots: A New Metaphor for Augmented Locomotion through Moderately Large Scale Immersive Virtual Environments. In Proceedings of Symposium on 3D User Interfaces, IEEE, 167--170.Google ScholarGoogle Scholar
  15. Iwata, H., Yano, H., Fukushima, H., and Noma, H. 2005. CirculaFloor. IEEE Computer Graphics and Applications 25, 1, 64--67. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Iwata, H., Hiroaki, Y., and Tomioka, H. 2006. Powered Shoes. SIGGRAPH 2006 Emerging Technologies, 28. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Jerald, J., Peck, T., Steinicke, F., and Whitton, M. 2008. Sensitivity to scene motion for phases of head yaws. In Proceedings of Applied Perception in Graphics and Visualization, ACM, 155--162. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Kohli, L., Burns, E., Miller, D., and Fuchs, H. 2005. Combining Passive Haptics with Redirected Walking. In Proceedings of Conference on Augmented Tele-Existence, ACM, vol. 157, 253--254. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Lappe, M., Bremmer, F., and van den Berg, A. V. 1999. Perception of self-motion from visual flow. Trends. Cogn. Sci. 3, 9, 329--336.Google ScholarGoogle ScholarCross RefCross Ref
  20. Loomis, J. M., and Knapp, J. M. 2003. Visual perception of egocentric distance in real and virtual environments. In Virtual and adaptive environments, L. J. Hettinger and M. W. Haas, Eds., vol. Virtual and adaptive environments. Mahwah.Google ScholarGoogle Scholar
  21. Nitzsche, N., Hanebeck, U., and Schmidt, G. 2004. Motion Compression for Telepresent Walking in Large Target Environments. In Presence, vol. 13, 44--60. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Peck, T., Whitton, M., and Fuchs, H. 2008. Evaluation of reorientation techniques for walking in large virtual environments. In Proceedings of Virtual Reality, IEEE, 121--128.Google ScholarGoogle Scholar
  23. Razzaque, S. 2005. Redirected Walking. PhD thesis, University of North Carolina, Chapel Hill. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. Riecke, B., and Wiener, J. 2007. Can People not Tell Left from Right in VR? Point-to-Origin Studies Revealed Qualitative Errors in Visual Path Integration. In Proceedings of Virtual Reality, IEEE, 3--10.Google ScholarGoogle Scholar
  25. Schwaiger, M., Thümmel, T., and Ulbrich, H. 2007. Cyberwalk: Implementation of a Ball Bearing Platform for Humans. In Proceedings of HCI, 926--935. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Steinicke, F., Bruder, G., Kohli, L., Jerald, J., and Hinrichs, K. 2008. Taxonomy and implementation of redirection techniques for ubiquitous passive haptic feedback. In Cyber-worlds, IEEE Press. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Steinicke, F., Bruder, G., Ropinski, T., and K. Hinrichs. 2008. Moving towards generally applicable redirected walking. In Proceedings of the Virtual Reality International Conference (VRIC), IEEE Press, 15--24.Google ScholarGoogle Scholar
  28. Su, J. 2007. Motion Compression for Telepresence Locomotion. Presence: Teleoperator in Virtual Environments 4, 16, 385--398. Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. Usoh, M., Arthur, K., Whitton, M., Bastos, R., Steed, A., Slater, M., and Brooks, F. 1999. Walking > Walking-in-Place > Flying, in Virtual Environments. In Proceedings of SIGGRAPH, ACM, 359--364. Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. Wallach, H. 1987. Perceiving a stable environment when one moves. Anual Review of Psychology 38, 127.Google ScholarGoogle ScholarCross RefCross Ref
  31. Wertheim, A. H. 1994. Motion perception during self-motion, the direct versus inferential controversy revisited. Behav. Brain Sci. 17, 2, 293--355.Google ScholarGoogle ScholarCross RefCross Ref
  32. Whitton, M., Cohn, J., Feasel, P., Zimmons, S., Razzaque, S., Poulton, B., and und F. Brooks, B. M. 2005. Comparing VE Locomotion Interfaces. In Proceedings of Virtual Reality, IEEE, 123--130. Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. Williams, B., Narasimham, G., McNamara, T. P., Carr, T. H., Rieser, J. J., and Bodenheimer, B. 2006. Updating Orientation in Large Virtual Environments using Scaled Trans-lational Gain. In Proceedings of the 3rd Symposium on Applied Perception in Graphics and Visualization, vol. 153, ACM, 21--28. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Analyses of human sensitivity to redirected walking

        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 Conferences
          VRST '08: Proceedings of the 2008 ACM symposium on Virtual reality software and technology
          October 2008
          288 pages
          ISBN:9781595939517
          DOI:10.1145/1450579

          Copyright © 2008 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: 27 October 2008

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • research-article

          Acceptance Rates

          VRST '08 Paper Acceptance Rate12of68submissions,18%Overall Acceptance Rate66of254submissions,26%

          Upcoming Conference

          VRST '24

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader