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    Human-robot teaming performance improves with experienced robots, reducing mental workload and increasing trust. Neural markers (EEG) reveal distinct attentional processes during human-robot collaboration versus solo work.

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    Area of Science:

    • Robotics
    • Cognitive Neuroscience
    • Human-Computer Interaction

    Background:

    • Human-robot teaming is crucial with intelligent machines.
    • Robot behavior impacts team performance, workload, and trust.
    • Prior studies often lacked neural markers or physical robots in complex tasks.

    Purpose of the Study:

    • To investigate cognitive-motor processes in human-robot teams.
    • To combine behavioral and electroencephalography (EEG) data.
    • To analyze the effects of robot experience on teaming dynamics.

    Main Methods:

    • Participants completed complex tasks with a robot under varying conditions.
    • Behavioral data (performance, workload, trust) were collected.
    • Electroencephalography (EEG) recorded cortical dynamics.

    Main Results:

    • Robot experience significantly altered behavioral and EEG dynamics.
    • Experienced robots enhanced team performance and trust, lowering workload.
    • EEG indicated different attentional engagement and visual processing patterns based on robot experience and solo performance.

    Conclusions:

    • Robot experience is a key factor in human-robot team effectiveness.
    • EEG provides insights into cognitive processes during human-robot interaction.
    • Findings can guide the design of robotic systems for better human-robot collaboration.