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Effects of Postures on Identifying Users for Selection-Based Behavioral Authentication in Virtual Reality.

GuanYu Ye, Tingjie Wan, Huawei Tu

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    Summary
    This summary is machine-generated.

    Posture significantly impacts behavioral authentication in virtual reality (VR). Understanding these variations is key to developing robust VR authentication systems that work across different user postures.

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    Area of Science:

    • Human-Computer Interaction
    • Virtual Reality Security
    • Biometric Authentication

    Background:

    • Behavioral authentication in Virtual Reality (VR) is gaining traction.
    • Current research often neglects the influence of user posture (sitting, standing, reclining) on authentication accuracy.
    • Posture variability is a critical factor for developing robust VR authentication systems.

    Purpose of the Study:

    • To investigate the impact of different postures on classification accuracy in behavioral authentication within VR.
    • To analyze how posture variations affect authentication performance during a target-selection task.
    • To inform the design of posture-robust VR authentication systems.

    Main Methods:

    • A controlled experiment involving 30 participants was conducted.
    • Behavioral trajectory data was collected during a target-selection task across sitting, standing, and reclining postures.
    • Multivariate time series classification algorithms were used to analyze authentication performance.

    Main Results:

    • Within-posture authentication showed reclining achieved the highest accuracy, influenced by target vertical layout.
    • Cross-posture authentication revealed sitting-to-standing/reclining transfers were more effective than standing-to-reclining.
    • Mixed-posture training, especially combining standing and reclining data, improved cross-posture accuracy by enabling indirect learning of sitting posture features.

    Conclusions:

    • Posture is a significant factor influencing behavioral authentication accuracy in VR.
    • Effective cross-posture authentication can be achieved through strategic data collection and mixed-posture training.
    • Findings offer insights for designing robust, posture-versatile VR authentication systems and data collection protocols.