Estimation of Detection Thresholds for Redirected Walking Techniques

University of Münster · University of North Carolina at Chapel Hill

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Abstract

In immersive virtual environments (IVEs), users can control their virtual viewpoint by moving their tracked head and walking through the real world. Usually, movements in the real world are mapped one-to-one to virtual camera motions. With redirection techniques, the virtual camera is manipulated by applying gains to user motion so that the virtual world moves differently than the real world. Thus, users can walk through large-scale IVEs while physically remaining in a reasonably small workspace. In psychophysical experiments with a two-alternative forced-choice task, we have quantified how much humans can unknowingly be redirected on physical paths that are different from the visually perceived paths. We…

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Authors

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Topics & keywords

Keywords
  • Computer science
  • Virtual reality
  • Computer vision
  • Rotation (mathematics)
  • Workspace
  • Curvature
  • Artificial intelligence
  • Path (computing)
UN Sustainable Development Goals
  • Reduced inequalities
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