will negatively impact human performance. In addition, these results support the use of psychophysiological measures in the design and evaluation of adaptively automated systems (for a more detailed discussion, see Byrne & Parasuraman, 1996). Future research should focus on the impact that other schedules of automation may have on correlates of workload as well as other psychophysiological measures that could serve in the development of advanced automation technologies.
1. Lawrence J. Prinzel III served as principal co-author on paper.
The study was supported by the NASA Summer Scholars and NASA Graduate Student Researchers programs (Grant #: NGT-1-52123). The authors would like to acknowledge the considerable assistance of Dr. Alan T. Pope and Dr. Raymond Comstock at the NASA Langley Research Center. We would also like to thank Dr. Mark W. Scerbo for his help with data interpretation.
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