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    Gait-Synced Translation Gain (GSTG) enhances virtual reality (VR) navigation by adapting translation gain to the user's walking cycle. This novel approach improves naturalness and comfort during locomotion in virtual environments (VEs).

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    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.