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Related Experiment Videos

Measurement and scaling of workload in complex performance.

W D Chiles, A E Jennings, E A Alluisi

    Aviation, Space, and Environmental Medicine
    |April 1, 1979
    PubMed
    Summary

    This study developed a workload index using psychological scaling on complex tasks. Performance declined with increased task combinations, indicating higher workload.

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    Area of Science:

    • Cognitive Psychology
    • Human Factors Engineering
    • Performance Measurement

    Background:

    • Assessing human workload is crucial in complex task environments.
    • Existing methods may not adequately quantify workload across diverse task combinations.

    Purpose of the Study:

    • To develop and validate a quantitative workload index.
    • To evaluate performance variations under different task-combination conditions.

    Main Methods:

    • Utilized the CAMI Multiple Task Performance Battery with six tasks.
    • Applied Thurstone Case V scaling to monitoring data (response times).
    • Inferred workload based on performance decline across single and combined tasks.

    Main Results:

    • All 12 performance measures varied significantly with task combinations.
    • Workload index showed consistency across participant groups and testing days (r's 0.947-0.993).
    • Single-task performance indicated the lowest workload (scale value 0).

    Conclusions:

    • The developed scaling procedure effectively quantifies workload.
    • Workload increases with task complexity and concurrency.
    • The method shows promise for quantitative workload assessment in research settings with sufficient sample sizes.

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