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Complex collaborative problem-solving processes in mission control.

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    Team knowledge-building is crucial for collaborative problem-solving in NASA

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    Area of Science:

    • Human-Computer Interaction
    • Cognitive Systems Engineering
    • Team Cognition

    Background:

    • NASA's Mission Control Center (MCC) manages the International Space Station (ISS).
    • MCC teams face complex problems requiring collaborative problem-solving.
    • Understanding information exchange for shared problem understanding is critical.

    Purpose of the Study:

    • To examine individual and collaborative problem-solving processes within MCC.
    • To assess the applicability of the Macrocognition in Teams Model to MCC operations.
    • To investigate how Mission Control personnel exchange information to achieve shared understanding.

    Main Methods:

    • Conducted semistructured interviews with seven MCC professionals about a recent complex problem.
    • Developed a coding scheme to analyze interview transcriptions.
    • Assessed collaborative problem-solving processes against the Macrocognition in Teams Model.

    Main Results:

    • Team knowledge-building processes constituted approximately 50% of coded data.
    • Internalized and externalized team knowledge accounted for 19% and 20% of data, respectively.
    • Team knowledge-building is essential for successful collaborative problem-solving in mission control.

    Conclusions:

    • The Macrocognition in Teams Model effectively depicts collaborative problem-solving in MCC.
    • Further research using the Macrocognition in Teams Model as a framework is recommended.
    • Team knowledge-building is a key factor in mission control's success.