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    Area of Science:

    • Virtual Reality
    • Human-Computer Interaction
    • Robotics

    Background:

    • Omnidirectional treadmills (ODTs) offer immersive virtual reality locomotion but suffer from directional user experience variations.
    • Redirected walking (RDW) uses visual cues to guide users in physical space, enhancing navigation.
    • Integrating RDW with ODTs presents an opportunity to overcome ODT limitations and improve virtual reality interaction.

    Purpose of the Study:

    • To explore the novel integration of Redirected Walking (RDW) technology with Omnidirectional Treadmills (ODTs).
    • To introduce and formally define ODT-based RDW (O-RDW) as a new concept for virtual reality locomotion.
    • To propose and evaluate baseline algorithms for O-RDW systems.

    Main Methods:

    • Development of two baseline O-RDW algorithms: OS2MD (steer to multi-direction) and OS2MT (steer to multi-target).
    • Quantitative analysis of algorithm performance and applicable scenarios using a simulation environment.
    • Practical application of O-RDW algorithms in a multi-target haptic feedback system.

    Main Results:

    • Simulation analysis identified optimal scenarios and key factors influencing O-RDW algorithm performance.
    • The proposed O-RDW algorithms were successfully implemented in a practical haptic feedback application.
    • User studies confirmed the practicability and effectiveness of the O-RDW technology.

    Conclusions:

    • The integration of RDW with ODTs (O-RDW) significantly enhances user experience in virtual reality.
    • The proposed OS2MD and OS2MT algorithms provide effective solutions for ODT-based redirected walking.
    • O-RDW technology demonstrates practical viability and effectiveness for advanced virtual reality interactions.