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Issue No.01 - Jan.-Feb. (2013 vol.33)
pp: 6-11
F. Steinicke , Univ. of Wurzburg, Wurzburg, Germany
G. Bruder , Univ. of Wurzburg, Wurzburg, Germany
Redirected walking (RDW) gives users the ability to explore a virtual world by walking in a confined physical space. It inconspicuously guides them on a physical path that might differ from the path they perceive in the virtual world. Exploiting three motion illusions-the change-blindness illusion, the four-stroke motion illusion, and the motion-without-movement illusion-can increase RDW's effectiveness.
Legged locomotion, Visualization, Cameras, Tracking, Virtual reality, Blindness, Image edge detection, Human computer interaction, Spatial resolution,spatial interfaces, Legged locomotion, Visualization, Cameras, Tracking, Virtual reality, Blindness, Image edge detection, Human computer interaction, Spatial resolution, human-computer interaction, virtual reality, immersive virtual environments, redirected walking, change-blindness illusion, four-stroke motion illusion, motion-without-movement illusion, computer graphics
F. Steinicke, G. Bruder, "Using Perceptual Illusions for Redirected Walking", IEEE Computer Graphics and Applications, vol.33, no. 1, pp. 6-11, Jan.-Feb. 2013, doi:10.1109/MCG.2013.13
1. I. Sutherland, “The Ultimate Display,” Proc. IFIP Congress, 1965, pp. 506–508; .
2. S. Razzaque, “Redirected Walking,” PhD thesis, Univ. of North Carolina, Chapel Hill, 2005.
3. F. Steinicke et al., “Estimation of Detection Thresholds for Redirected Walking Techniques,” IEEE Trans. Visualization and Computer Graphics, vol. 16, no. 1, 2010, pp. 17–27.
4. T. Peck, H. Fuchs, and M. Whitton, “Improved Redirection with Distractors: A Large-Scale-Real-Walking Locomotion Interface and Its Effect on Navigation in Virtual Environments,” Proc. 2010 IEEE Virtual Reality Conf. (VR 10), IEEE CS, 2010, pp. 35–38.
5. C.D. Wickens and P. Baker, “Cognitive Issues in Virtual Reality,” Virtual Environments and Advanced Interface Design, W. Barfield, and T.A. Furness III, eds., Oxford Univ. Press, 1995, pp. 514–541.
6. J.M. Hollerbach, “Locomotion Interfaces,” , Handbook of Virtual Environments: Design, Implementation, and Applications, K.M. Stanney ed., Lawrence Erlbaum Associates, 2002, pp. 239–254.
7. L. Niven, and S. Barnes, Dream Park, Ace Books, 1981.
8. M. Lappe, M. Jenkin, and L.R. Harris, “Travel Distance Estimation from Visual Motion by Leaky Path Integration,” Experimental Brain Research, vol. 180, 2007, pp. 35–48.
9. C.T. Neth et al., “Velocity-Dependent Dynamic Curvature Gain for Redirected Walking,” Proc. 2011 IEEE Virtual Reality Conf. (VR 11), IEEE CS, 2011, pp. 151–158.
10. R.A. Rensink, J.K. O'Regan, and J.J. Clark, “To See or Not to See: The Need for Attention to Perceive Changes in Scenes,” Psychological Science, vol. 8, no. 5, 1997, pp. 368–373.
11. S. Domhoefer, P. Unema, and B. Velichkovsky, “Blinks, Blanks and Saccades: How Blind We Really Are for Relevant Visual Events,” Progress in Brain Research, vol. 140, 2002, pp. 119–131.
12. G. Bruder et al., “Tuning Self-Motion Perception in Virtual Reality with Visual Illusions,” IEEE Trans. Visualization and Computer Graphics, vol. 18, no. 7, 2012, pp. 1068–1078.
13. G. Mather and L. Murdoch, “Second-Order Processing of Four-Stroke Apparent Motion,” Vision Research, vol. 39, no. 10, 1999, pp. 1795–1802.
14. W.T. Freeman, E.H. Adelson, and D.J. Heeger, “Motion without Movement,” Proc. Siggraph, ACM, 1991, pp. 27–30.
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