The Relationship Between Workload and Performance in Air Traffic Control: Exploring the Influence of Levels of Automation and Variation in Task Demand

Abstract

Verbatim from NASA NTRS. Not paraphrased, not summarized.

In an air traffic environment, task demand is dynamic. However, previous research has largely considered the association of task demand and controller performance using conditions of stable task demand. Further, there is a comparatively restricted understanding of the influence of task demand transitions on workload and performance in association with different types and levels of automation that are available to controllers. This study used an air traffic control simulation to investigate the influence of task demand transitions, and two conditions of automation, on workload and efficiency-related performance. Findings showed that both the direction of the task demand variation and the amount of automation influenced the relationship between workload and performance. Findings are discussed in relation to capacity and arousal theories. Further research is needed to enhance understanding of demand transition and workload history effects on operator experience and performance, in both air traffic control and other safety-critical domains.

Authors

• Edwards, Tamsyn San Jose State Univ.
• Martin, Lynne NASA Ames Research Center
• Bienert, Nancy San Jose State Univ.
• Mercer, Joey NASA Ames Research Center

Keywords

• function allocation
• workload history
• air traffic control
• automation
• workload transitions
• time-based metering