Collaborative Navigation Improves Spatial Learning Across Symmetric and Asymmetric Locomotion in Virtual Reality
Soumyajit Chakraborty, Holly C. Gagnon, Timothy P. McNamara, Bobby Bodenheimer
Abstract
Multi-user virtual reality (VR) systems support multiple locomotion methods, but coordination may be challenging when partners use different methods. We studied dyads navigating a shared virtual maze using symmetric (same) or asymmetric (different) locomotion methods-specifically, steering (continuous movement with physical turning) and teleportation (point-and-teleport within 30 meters with physical turning)-and assessed survey knowledge using direction and straightline distance estimates between objects. We found that (1) dyads acquired better survey knowledge than individuals across locomotion conditions; (2) teleportation showed no significant difference from steering in distance error and yielded significantly lower angular error; (3) asymmetric locomotion methods did not significantly increase cybersickness compared to symmetric locomotion methods; and (4) symmetric and asymmetric dyads showed no significant differences in distance or angular errors. Overall, these results suggest that collaborative navigation improves spatial learning and that asymmetric locomotion can improve accessibility without significantly increasing cybersickness in multi-user VR applications.
Ask about this paper
Ask your agent about it.
Lune has read the top-tier papers around this one, so every answer names the papers it rests on.
Related papers
- Designing for Wayfinding in VR: Linking Navigation Interfaces to Spatial Learning and Cognitive MappingArmin Mostafavi, Zhiwen Qiu, Tong Bill Xu, Wenqian Niu et al.CHI 2026 · 1 citation
- Dyadic Acquisition of Survey Knowledge in a Shared Virtual EnvironmentLauren E. Buck, Timothy P. McNamara, Bobby BodenheimerIEEE VR 2020 · 4 citations
- Walking-with-Portals vs. Teleport in VR: Why Walking and Portals Matter in Small SpacesAna Rita Rebelo, Pedro A. Ferreira, André Tomás Ribeiro, Rui NóbregaACM MM 2025 · 1 citation
- illumotion: An Optical-illusion-based VR Locomotion Technique for Long-Distance 3D MovementZackary P. T. Sin, Ye Jia, Richard Chen Li, Hong Va Leong et al.IEEE VR 2024 · 7 citations
- Going, Going, Gone: Exploring Intention Communication for Multi-User Locomotion in Virtual RealityJulian Rasch, Vladislav Dmitrievic Rusakov, Martin Schmitz, Florian MüllerCHI 2023 · 27 citations
