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    Interactive haptic competition enhances motor learning by increasing active effort and tracking accuracy compared to collaboration or self-improvement. This suggests competition is superior for boosting engagement in physical tasks.

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    Area of Science:

    • Human-Computer Interaction
    • Motor Learning
    • Robotics

    Background:

    • Physical interaction can improve motor learning.
    • The optimal type of interaction for maximizing active effort in motor tasks remains unclear.
    • Understanding effort modulation in interactive tasks is crucial for designing effective training protocols.

    Purpose of the Study:

    • To investigate how different interaction instructions (competition, collaboration, self-improvement) affect active effort and tracking accuracy during a haptic task.
    • To determine which training condition best enhances motor learning through increased physical engagement.
    • To compare the effects of competitive, collaborative, and self-focused haptic training.

    Main Methods:

    • Participants engaged in a haptic interactive tracking task under three instruction conditions: competition, collaboration, and self-improvement.
    • Effort was quantified by measuring total normalized muscle activity.
    • Task performance (tracking accuracy) and haptic feedback were kept consistent across all conditions.

    Main Results:

    • Competitive practice led to significantly higher muscle activity (effort) and the greatest tracking accuracy.
    • Collaboration resulted in the least effort, with tracking accuracy comparable to self-improvement.
    • Despite identical task demands, instructions significantly modulated participants' active drive.

    Conclusions:

    • Interactive haptic competition is more effective at inducing higher active effort and improving tracking accuracy than collaborative or self-improvement training.
    • Competitive environments may enhance motor learning by increasing participant engagement and physical exertion.
    • These findings have implications for designing optimized training systems that leverage social interaction for motor skill acquisition.