Journal
PROCEEDINGS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI' 22)
Volume -, Issue -, Pages -Publisher
ASSOC COMPUTING MACHINERY
DOI: 10.1145/3491102.3501983
Keywords
virtual reality; teleportation; locomotion; virtual environments
Funding
- LOEWE initiative (Hesse, Germany) within the emergenCITY center
- Humane AI Net from the European Union's Horizon 2020 research and innovation program [761758]
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This paper proposes six 3D teleportation methods based on linear and parabolic aiming methods and three types of transitioning to a target. Through an experiment, it is found that the combination of linear aiming and instant transitioning achieves the highest efficiency and accuracy without increasing VR sickness.
Teleportation has become the de facto standard of locomotion in Virtual Reality (VR) environments. However, teleportation with parabolic and linear target aiming methods is restricted to horizontal 2D planes and it is unknown how they transfer to the 3D space. In this paper, we propose six 3D teleportation methods in virtual environments based on the combination of two existing aiming methods (linear and parabolic) and three types of transitioning to a target (instant, interpolated and continuous). To investigate the performance of the proposed teleportation methods, we conducted a controlled lab experiment (N = 24) with a mid-air coin collection task to assess accuracy, efficiency and VR sickness. We discovered that the linear aiming method leads to faster and more accurate target selection. Moreover, a combination of linear aiming and instant transitioning leads to the highest efficiency and accuracy without increasing VR sickness.
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