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Human Performance Time Model of Spacecraft Control Panel Operation in Simulated Microgravity.

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    A new human performance model accurately predicts spacecraft control panel task time in simulated microgravity. This model quantifies physical and cognitive times, crucial for aerospace human factors and mission design.

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    Area of Science:

    • Aerospace Medicine
    • Human Factors Engineering
    • Cognitive Science

    Background:

    • Human performance modeling is vital for spaceflight mission design and management.
    • Previous research indicates increased manual control task times in microgravity.
    • A need exists for methods to quantify and predict spacecraft control panel operation time under microgravity.

    Purpose of the Study:

    • To develop and validate a model for predicting spacecraft control panel operation time in simulated microgravity.
    • To quantify both physical motion time and cognitive time components of tasks.
    • To assess the impact of microgravity on human performance in operational tasks.

    Main Methods:

    • Applied a predetermined elemental task method combined with an information processing time model.
    • Hypothesized microgravity-induced time increments to be proportional to physical motion time.
    • Collected human data from emergency operating procedure tasks in normal and simulated microgravity conditions.

    Main Results:

    • The proposed model demonstrated excellent fit with experimental human data (R² = 0.99).
    • Low modeling errors were observed: root mean square error ≤ 3.3 s and mean absolute percentage error ≤ 16.1%.
    • The model effectively predicted task times in both normal and simulated microgravity environments.

    Conclusions:

    • The developed human performance time model shows significant value for aerospace human factors and ergonomics.
    • Findings support the application of this modeling approach for designing and managing human spaceflight.
    • Further research may refine the model's limitations and expand its applicability.