Efficiency of techniques for mixed-space collaborative navigation

  • Authors:
  • Aaron Stafford;Bruce H. Thomas;Wayne Piekarski

  • Affiliations:
  • Wearable Computer Lab, University of South Australia, Australia;Wearable Computer Lab, University of South Australia, Australia;Wearable Computer Lab, University of South Australia, Australia

  • Venue:
  • ISMAR '08 Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality
  • Year:
  • 2008

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Abstract

This paper describes the results of a study conducted to determine the efficiency of visual cues for a collaborative navigation task in a mixed-space environment. The task required a user with an exocentric view of a virtual room to navigate a fully immersed user with an egocentric view to an exit. The study compares natural hand-based gestures, a mouse-based interface and an audio only technique to determine their relative efficiency on task completion times. The results show that visual cue-based collaborative navigation techniques are significantly more efficient than an audio-only technique.