LocoScooter: Designing a Stationary Scooter-Based Locomotion System for Navigation in Virtual Reality

📅 2026-01-05
🏛️ arXiv.org
📈 Citations: 0
Influential: 0
📄 PDF
🤖 AI Summary
This work proposes a stationary VR locomotion system based on a scooter-like form factor to address the challenge of limited physical space hindering natural walking in virtual reality. The system enables users to simulate realistic riding motions through foot sliding and handlebar steering, leveraging familiar bodily interactions to support embodied navigation. Built with off-the-shelf hardware, the platform is compact, low-cost, and easy to deploy. Empirical evaluation demonstrates that it significantly enhances user immersion, enjoyment, and physical engagement, while maintaining task efficiency and usability comparable to traditional hand controllers, without inducing additional fatigue.

Technology Category

Application Category

📝 Abstract
Virtual locomotion remains a challenge in VR, especially in space-limited environments where room-scale walking is impractical. We present LocoScooter, a low-cost, deployable locomotion interface combining foot-sliding on a compact treadmill with handlebar steering inspired by scooter riding. Built from commodity hardware, it supports embodied navigation through familiar, physically engaging movement. In a within-subject study (N = 14), LocoScooter significantly improved immersion, enjoyment, and bodily involvement over joystick navigation, while maintaining comparable efficiency and usability. Despite higher physical demand, users did not report increased fatigue, suggesting familiar movements can enrich VR navigation.
Problem

Research questions and friction points this paper is trying to address.

virtual locomotion
virtual reality
space-limited environments
embodied navigation
VR navigation
Innovation

Methods, ideas, or system contributions that make the work stand out.

virtual locomotion
embodied navigation
scooter-based interface
foot-sliding treadmill
VR interaction
🔎 Similar Papers
No similar papers found.
W
Wei He
HKUST(GZ)
Xiang Li
Xiang Li
Ph.D. at the University of Cambridge
Human-Computer InteractionVirtual RealityMixed RealitySpatial InteractionBodily Interface
P
P. O. Kristensson
University of Cambridge
G
Ge Lin Kan
HKUST(GZ)