• DOI:10.1109/TVCG.2019.2935730
• Corpus ID: 201631557

NaviBoard and NaviChair: Limited Translation Combined with Full Rotation for Efficient Virtual Locomotion

@article{NguyenVo2021NaviBoardAN,
  title={NaviBoard and NaviChair: Limited Translation Combined with Full Rotation for Efficient Virtual Locomotion},
  author={Thinh Nguyen-Vo and Bernhard E. Riecke and Wolfgang Stuerzlinger and Duc-Minh Pham and Ernst Kruijff},
  journal={IEEE Transactions on Visualization and Computer Graphics},
  year={2021},
  volume={27},
  pages={165-177}
}

• Thinh Nguyen-Vo, B. Riecke, +2 authors E. Kruijff
• Published 1 January 2021
• Engineering
• IEEE Transactions on Visualization and Computer Graphics

Walking has always been considered as the gold standard for navigation in Virtual Reality research. Though full rotation is no longer a technical challenge, physical translation is still restricted through limited tracked areas. While rotational information has been shown to be important, the benefit of the translational component is still unclear with mixed results in previous work. To address this gap, we conducted a mixed-method experiment to compare four levels of translational cues and control: none (using the trackpad of the HTC Vive controller to translate), upper-body leaning (sitting on a “NaviChair”, leaning the upper-body to locomote), whole-body leaning/stepping (standing on a platform called NaviBoard, leaning the whole body or stepping one foot off the center to navigate), and full translation (physically walking). Results showed that translational cues and control had significant effects on various measures including task performance, task load, and simulator sickness. While participants performed significantly worse when they used a controller with no embodied translational cues, there was no significant difference between the NaviChair, NaviBoard, and actual walking. These results suggest that translational body-based motion cues and control from a low-cost leaning/stepping interface might provide enough sensory information for supporting spatial updating, spatial awareness, and efficient locomotion in VR, although future work will need to investigate how these results might or might not generalize to other tasks and scenarios.