Abstract
Many methods and models have evolved in recent years with the objective to improve our ability to predict and measure workload, based on the desire to assure operators can perform all tasks as required. With this evolution has come a better recognition of differences in need, language has become more precisely defined and there now is less confusion of concepts and purpose than 10 years ago. There is now a wide assortment of workload “tools” with widely varying degrees of complexity. Additionally, more attention is being given to whether the tools measure what they purport to measure, and whether the variety of tools now proposed actually do measure the same thing.
Originally released as Boeing Document D180-31116-1
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Parks, D.L., Boucek, G.P. (1989). Workload Prediction, Diagnosis, and Continuing Challenges. In: McMillan, G.R., Beevis, D., Salas, E., Strub, M.H., Sutton, R., Van Breda, L. (eds) Applications of Human Performance Models to System Design. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-9244-7_4
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DOI: https://doi.org/10.1007/978-1-4757-9244-7_4
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