The information processing approach traditionally has been the theoretical foundation of mental workload. Computational neurocognitive models are emerging approaches to understanding how the brain performs cognitive functions. Computational complexity refers to the many possibilities and ambiguities intrinsic in the environmental stimuli. These models agree that the brain has limited computational power. Utility and implications of the computational approaches to the understanding of mental workload, especially that of higher-level activities such as strategic control of dynamic multiple-task performance and situation awareness will be explored.
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