Abstract and Keywords
Neuroergonomics shares with other cognitive engineering approaches the goal of developing systems and work environments compatible with human capabilities and limitations, but by taking both behavior and brain function into account. This chapter discusses several examples that illustrate the value of the neuroergonomic approach to cognitive engineering. Research on the following topics is described: mental workload, vigilance, human error, adaptive systems, brain-computer interfaces and neuroengineering, and the genetics of individual differences in cognition and human performance. Evidence is drawn from several neuroscience techniques, including functional magnetic resonance imaging (fMRI), electroencephalography (EEG), event-related potentials (ERPs), transcranial Doppler sonography (TCD), and functional near-infrared spectroscopy (fNIRS). Furthermore, because modeling can address issues of human performance in a wider range of work contexts than can experimental studies, brain-inspired computational models are discussed in relation to the previously described areas of human performance. Finally, future directions and challenges for neuroergonomics are discussed.
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