Virtual Distance Estimation in a CAVE

نویسندگان

  • William E. Marsh
  • Jean-Rémy Chardonnet
  • Frédéric Mérienne
چکیده

Past studies have shown consistent underestimation of distances in virtual reality, though the exact causes remain unclear. Many virtual distance cues have been investigated, but past work has failed to account for the possible addition of cues from the physical environment. We describe two studies that assess users’ performance and strategies when judging horizontal and vertical distances in a CAVE. Results indicate that users attempt to leverage cues from the physical environment when available and, if allowed, use a locomotion interface to move the virtual viewpoint to facilitate this.

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تاریخ انتشار 2014