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原文传递 Metrics for Operator Situation Awareness, Workload, and Performance in Automated Separation Assurance Systems.

题名：	Metrics for Operator Situation Awareness, Workload, and Performance in Automated Separation Assurance Systems.
作者：	Battiste, V.; Dao, A. Q.; Dwyer, J. P.; Ho, N.; Johnson, W.; Landry, S.; Strybel, T. Z.; Vu, K. P. L.
关键词：	Air Traffic Control; Air Transportation; Aircraft Performance; Airspace; Automatic Control; Probes; Situational Awareness; Systems Analysis; Workloads(psychophysiology)
摘要：	A research consortium of scientists and engineers from California State University Long Beach (CSULB), San Jose State University Foundation (SJSUF), California State University Northridge (CSUN), Purdue University, and The Boeing Company was assembled to evaluate the impact of changes in roles and responsibilities and new automated technologies, being introduced in the Next Generation Air Transportation System (NextGen), on operator situation awareness (SA) and workload. To meet these goals, consortium members performed systems analyses of NextGen concepts and airspace scenarios, and concurrently evaluated SA, workload, and performance measures to assess their appropriateness for evaluations of NextGen concepts and tools. The following activities and accomplishments were supported by the NRA: a distributed simulation, metric development, systems analysis, part-task simulations, and large-scale simulations. As a result of this NRA, we have gained a greater understanding of situation awareness and its measurement, and have shared our knowledge with the scientific community. This network provides a mechanism for consortium members, colleagues, and students to pursue research on other topics in air traffic management and aviation, thus enabling them to make greater contributions to the field.
报告类型：	科技报告