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- W2026972141 abstract "Background: The past century of passenger fl ight has seen continuous improvement in aviation safety by aerospace industry and the research community. However, while commercial aviation accident rates have continued to decline, human error-related incident and accident rates remain remarkably constant across all types of aviation. Unfortunately, this level of human error is unacceptable when considering projections for increased traffi c volume, and is likely to yield more incidents and accidents unless a more complete understanding of operator error is achieved and remediations are implemented. One area of interest highlighted by researchers is Hazardous States of Awareness (HSAs) that can result from defi ciencies in the design and inappropriate use of human-machine interfaces. Identifying and mitigating HSAs is critical for reducing operator errors. One promising approach uses psychophysiological measures which enable automated systems to adapt to the operator’s state and modify modes of operation to support optimal human performance. This paper will survey previous research and describe future directions for the application of psychophysiological measures of operators derived from cortical and autonomic assessment to perform real-time adaptive modulation of human-automation interactions." @default.
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- W2026972141 date "2014-03-20" @default.
- W2026972141 modified "2023-10-16" @default.
- W2026972141 title "CLOSING THE LOOP BETWEEN MAN AND MACHINE: MITIGATING HAZARDOUS STATES OF AWARENESS WITH ADAPTIVE AUTOMATION" @default.
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- W2026972141 doi "https://doi.org/10.13174/pjamp.20.01.2014.2" @default.
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