Human Performance Effects of Adaptive Automation of Various Air Traffic Control Information Processing Functions

摘要

Advanced forms of automation are being considered for application to Air Traffic Control (ATC) in order to reduce controller workload and make higher traffic volumes more manageable. At this point in time there is only limited knowledge of the implications of, for example, Adaptive Automation (AA) on controller performance, workload, and Situation Awareness (SA). The purpose of this research was to (1) define a measure of SA in an ATC simulation that is a sensitive and reliable indicator of automation state changes as part of AA; (2) empirically assess the SA measure for use in investigating AA of various ATC information processing functions; and (3) determine the relationship(s) between AA in the ATC simulation and operator SA. The situation awareness global assessment technique (SAGAT) was considered to be an appropriate candidate measure of SA during AA of an ATC simulation.