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Drift-Correction Techniques for Scale-Adaptive VR Navigation

Published: 17 October 2019 Publication History

Abstract

Scale adaptive techniques for VR navigation enable users to navigate spaces larger than the real space available, while allowing precise interaction when required. However, due to these techniques gradually scaling displacements as the user moves (changing user's speed), they introduce a Drift effect. That is, a user returning to the same point in VR will not return to the same point in the real space. This mismatch between the real/virtual spaces can grow over time, and turn the techniques unusable (i.e., users cannot reach their target locations). In this paper, we characterise and analyse the effects of Drift, highlighting its potential detrimental effects. We then propose two techniques to correct Drift effects and use a data driven approach (using navigation data from real users with a specific scale adaptive technique) to tune them, compare their performance and chose an optimum correction technique and configuration. Our user study, applying our technique in a different environment and with two different scale adaptive navigation techniques, shows that our correction technique can significantly reduce Drift effects and extend the life-span of the navigation techniques (i.e., time that they can be used before Drift draws targets unreachable), while not hindering users' experience.

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Cited By

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  • (2024)Influence of Rotation Gains on Unintended Positional Drift during Virtual Steering Navigation in Virtual RealityProceedings of the 30th ACM Symposium on Virtual Reality Software and Technology10.1145/3641825.3687734(1-10)Online publication date: 9-Oct-2024
  • (2022)Beyond Being Real: A Sensorimotor Control Perspective on Interactions in Virtual RealityProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517706(1-17)Online publication date: 29-Apr-2022
  • (2022)Validating Simulation-Based Evaluation of Redirected Walking SystemsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.315046628:5(2288-2298)Online publication date: May-2022
  • Show More Cited By

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cover image ACM Conferences
UIST '19: Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology
October 2019
1229 pages
ISBN:9781450368162
DOI:10.1145/3332165
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 17 October 2019

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  1. drift correction
  2. navigation
  3. virtual reality

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Cited By

View all
  • (2024)Influence of Rotation Gains on Unintended Positional Drift during Virtual Steering Navigation in Virtual RealityProceedings of the 30th ACM Symposium on Virtual Reality Software and Technology10.1145/3641825.3687734(1-10)Online publication date: 9-Oct-2024
  • (2022)Beyond Being Real: A Sensorimotor Control Perspective on Interactions in Virtual RealityProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517706(1-17)Online publication date: 29-Apr-2022
  • (2022)Validating Simulation-Based Evaluation of Redirected Walking SystemsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.315046628:5(2288-2298)Online publication date: May-2022
  • (2022)BlueSkype: A Shared Virtual 3D World for Off-Site Meetings in NatureHCI International 2022 Posters10.1007/978-3-031-06394-7_15(98-105)Online publication date: 16-Jun-2022
  • (2021)Understanding, Modeling and Simulating Unintended Positional Drift during Repetitive Steering Navigation Tasks in Virtual RealityIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.310650427:11(4300-4310)Online publication date: Nov-2021

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