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    This study introduces an adaptive mixed reality (MR) notification system that spatially adjusts alerts by urgency. The adaptive system reduces user cognitive load and frustration while maintaining awareness, improving MR usability.

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    Area of Science:

    • Human-Computer Interaction
    • Immersive Technologies
    • User Experience Design

    Background:

    • Current mixed reality (MR) notification systems use fixed central displays, causing interruptions and cognitive overload.
    • Calm technology principles and prior MR/VR notification research informed the development of a new system.

    Purpose of the Study:

    • To develop and evaluate an adaptive MR notification system that spatially distributes alerts based on urgency.
    • To compare the adaptive system's performance against a default centralized notification approach.

    Main Methods:

    • A within-subjects study with 18 participants evaluated the adaptive system against the default centralized method.
    • The adaptive system places non-urgent notifications peripherally, moderately urgent ones on the user's hand, and urgent ones centrally.
    • Logistic regression analysis assessed user preference and the impact of classification errors.

    Main Results:

    • The adaptive system significantly reduced mental workload (p=0.041), temporal workload (p=0.008), and frustration (p=0.004).
    • Notification awareness was comparable between the adaptive and default systems.
    • Users preferred the adaptive system, even with some classification errors, if combined errors remained below a threshold.

    Conclusions:

    • Urgency-based spatial notification distribution is effective in addressing key mixed reality usability challenges.
    • The adaptive system balances user attention management with information accessibility in immersive environments.
    • Findings provide practical design guidelines for future immersive notification systems.