Gait-Synced Translation Gain for Naturalistic VR Motion

Area of Science:

• Virtual Reality (VR) and Human-Computer Interaction (HCI).
• Locomotion techniques and user experience in virtual environments.

Background:

• Redirected Walking (RDW) is crucial for navigating large virtual environments (VEs) within limited physical spaces.
• Continuous translation gain is a standard RDW technique, applied irrespective of user motion state.

Purpose of the Study:

• To introduce Gait-Synced Translation Gain (GSTG), a novel RDW technique.
• To adapt translation gain based on the user's gait cycle for enhanced VR experiences.

Main Methods:

• Developed GSTG to synchronize translation gain with the user's gait cycle.
• Leveraged the single-limb support phase for applying higher gain levels due to reduced sensitivity to disturbances.
• Conducted a user study comparing GSTG with continuous translation gain.

Main Results:

• GSTG demonstrated significant improvements in perceived naturalness and comfort compared to continuous gain.
• The technique allows for greater manipulation of virtual movement while maintaining natural walking sensations.
• No additional cybersickness was reported with the GSTG approach.

Conclusions:

• Gait-synchronized gain offers a promising method for enhancing immersion in VR.
• GSTG presents new possibilities for more realistic and comfortable VR locomotion.
• The findings suggest that adapting RDW to gait dynamics can significantly improve user experience.