[DC] Exploring and Designing VR Locomotion Method Based on Bio-Signal for Hands-Free Context and its Improvement
Jinwook Kim · 2024
Along with the advanced hand-tracking algorithms, various interactions based on hand motion are actively developing. However, if too much function are concentrated on the hand, it might be a burden on the hand and interrupt immersion. Therefore, we focused on designing a locomotion method, which is essential for exploring the broad virtual world efficiently and comfortably. We utilized bio-signal (i.e., eye tracking, EEG) to reduce the load on the hand. First, we explored to compare the usability and efficiency of our method to hand-tracking-based locomotion methods. The result showed that our methods are suitable for hands-free VR contexts. Also, we found that EEG based method proposes enhanced experience when it is used with eye-tracking. In order to improve this effect, we are currently working on research that develops user-friendly Steady-State Visual Evoked Potential (SSVEP) stimuli that suit the VR HMD format. From our research, we aim to propose design guidelines for presenting appropriate locomotion methods depending on the various contexts in the virtual environment for an enhanced hands-free VR experience.