Impact of Translation and Viewpoint Transition Methods in VR on Spatial Learning and Cybersickness
Armin Mostafavi, Zhiwen Qiu, Tong Bill Xu, Saleh Kalantari

TL;DR
This study evaluates how different translation and viewpoint transition methods in VR affect spatial learning, cybersickness, and user experience, providing insights for designing better virtual locomotion techniques.
Contribution
It offers a comprehensive evaluation of controller-based virtual locomotion techniques in indoor VR environments, addressing a research gap.
Findings
Trade-offs between spatial knowledge and cybersickness identified
Effectiveness of VLTs varies with interaction fidelity
Design implications for VR interfaces derived
Abstract
Virtual locomotion technique (VLT) is a fundamental component of virtual reality (VR) systems that translates physical and controller inputs into virtual translational movements and viewpoint transitions. Poorly designed VLTs can result in discomfort, nausea, and reductions in task performance. Understanding the effectiveness of VLTs across various levels of interaction fidelity is crucial to enhance user experience and spatial awareness. The current study addressed a significant gap in VR design research and practice, as few previous efforts have been made to comprehensively evaluate the effectiveness of controller-based VLTs in virtual indoor environments. We conducted a user study in which participants navigated through two complex virtual environments, one focusing on exploratory tasks and the other on goal-oriented navigation. The findings offer insights into the trade-offs among…
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Taxonomy
TopicsRobotics and Automated Systems
