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NASA NTRS · Presentation
Workload and Performance in Air Traffic Control: Exploring the Influence of Levels of Automation and Variation in Task Demand
Attribution
This is the abstract and citation. Full text lives at NASA NTRS — we link out rather than host. All credit to the authors and Ames Research Center.
Abstract
Verbatim from NASA NTRS. Not paraphrased, not summarized.
In air traffic control, task demand and workload have important implications for the safety and efficiency of air traffic. Task demand is dynamic, however, research on demand transitions and associated controller perception and performance is limited. In addition, there is a comparatively restricted understanding of the influence of task demand transitions on workload and performance, in association with automation. This study used an air traffic control simulation to investigate the influence of task demand transitions and two conditions of varying automation, on workload and efficiency-related performance. Findings showed that a both the direction of the task demand variation, and the amount of automation, influenced the relationship between workload and performance. 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 El San Jose State Univ.
- Martin, Lynne NASA Ames Research Center
- Bienert, Nancy San Jose State Univ.
- Mercer, Joey NASA Ames Research Center
Keywords
- air traffic control
- function allocation
- workload transitions
Citation: Edwards, Tamsyn El, Martin, Lynne, Bienert, Nancy , et al. (2019). Workload and Performance in Air Traffic Control: Exploring the Influence of Levels of Automation and Variation in Task Demand. Ames Research Center. NASA NTRS ID 20170011191. https://ntrs.nasa.gov/citations/20170011191 ↗