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    This study introduces a novel multi-modal robotic system that enhances user engagement for motor learning. Objective neural responses show this approach improves engagement compared to traditional methods, crucial for effective robotic rehabilitation.

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    Area of Science:

    • Robotics
    • Neuroscience
    • Rehabilitation Engineering

    Background:

    • User engagement and motivation are critical for motor learning, especially in robotic rehabilitation targeting neuroplasticity.
    • Traditional robotic rehabilitation systems struggle to maintain user engagement, impacting therapeutic outcomes.
    • Existing techniques like assist-as-needed controllers aim to boost participation but may not fully address engagement challenges.

    Purpose of the Study:

    • To introduce and evaluate a novel multi-modal robotic interaction designed to enhance user engagement.
    • To synergistically integrate visual, motor, cognitive, and auditory (speech recognition) tasks into a single activity.
    • To quantitatively assess user engagement using electroencephalography (EEG) biomarkers.

    Main Methods:

    • A new multi-modal robotic interaction protocol was developed, integrating diverse tasks.
    • EEG biomarkers were compared between the multi-modal protocol and a traditional motor-only protocol.
    • Fifteen healthy adult participants completed 100 trials of each task type.

    Main Results:

    • EEG biomarkers, specifically relative alpha power, indicated significantly improved engagement with the multi-modal task.
    • Engagement decreased over time in the motor-only task but remained consistent in the multi-modal protocol.
    • Neural responses suggest the multi-modal approach effectively enhances user engagement.

    Conclusions:

    • The proposed multi-modal robotic interaction significantly enhances user engagement compared to motor-only approaches.
    • Consistent engagement observed in the multi-modal protocol suggests potential for longer and more effective therapy sessions.
    • Objective neural evidence highlights the benefits of integrating motor, cognitive, and auditory functions in robotic interventions for user engagement.