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NaviFields: Relevance Fields for Adaptive VR Navigation

Talkat UIST 2017 · 2017-10-22..10-25· [frontend-architecture]
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System computes a continuous relevance field that compresses non‑relevant space and keeps a 1:1 mapping inside marked targets, with smooth transition zones and overlap resolved by taking the lowest local gain. Implemented with scaling factors 2, 4, 8 and tested against Homogeneous Scaling and Natural navigation on paths of 3 and 5 flags. Results: lower deviation from optimal path than homogeneous scaling, similar precision to natural for maneuvering, no slower completion times, better comfort, and kneeling posture degrades performance. real and virtual traveled distance measured transitioning zones linearly interpolate gains

AI-written summary · about

  1. 0:00Introduction
  2. 0:20Background
  3. 5:10Navigation Paradigm
  4. 6:06User Study
  5. 9:30Factorial Design
  6. 10:43Results
  7. 12:34Task Results
  8. 14:30Conclusion
  9. 15:19Questions
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