Exploration of the Virtual Reality Teleportation Methods Using Hand-Tracking, Eye-Tracking, and EEG

Although recent developments in VR tracking technology have enabled VR to become more portable and convenient, VR must overcome limited traversable space to be used for more general purposes. Since future VR HMDs aim to embed bio-sensors, such as eye-tracking and electroencephalography (EEG), the present study investigates how bio-sensors could be integrated into VR locomotion and how usability could be improved. In this paper, teleportation methods were developed by combining eye-tracking, EEG, and hand-tracking for location targeting and teleport triggering processes. In a static teleportation task, we compared the efficiency, accuracy, and usability of each method as well as the interactions between different combinations of methods. The experimental results verified that these locomotion methods were overall suitable for hands-free VR contents, and revealed relative superiority of eye-tracking for location targeting and hand-tracking for teleport triggering. Importantly, we identified specific combinations of locomotion methods appropriate for context by showing the interactions between experimental factors, and components that require improvement for future application. The results of this study contribute to development and understanding of novel VR locomotion methods utilizing bio-signal data, for more efficient and natural VR locomotion experience.

Automated summary

This study investigates the integration of bio-sensors into VR locomotion and explores how usability can be improved. Teleportation methods using eye-tracking, EEG, and hand-tracking were developed for location targeting and teleport triggering. The experimental results demonstrate the suitability of these locomotion methods for hands-free VR content, with eye-tracking being superior for location targeting and hand-tracking for teleport triggering.