Inter-sector cooperation between air traffic controllers (ATCos) can provide an effective way to manage controllers’ workload by redistributing individual task-load at a group level, yet this area has not been fully explored. Based on our previous studies which have identified the effects of certain task-level features, this present research aimed to identify the influence of individual difference variables on controllers’ backup decisions. Forty licensed controllers performed thirty-two simulated final approach scenarios in which they had to decide whether to accept a hand-over request made by a controller working in the neighboring sector. We manipulated three key task-level features across scenarios: (1) participants’ task-load, (2) the requestors’ task-load and (3) the close-landing demands of the to-be-hand-over aircraft. We also measured controllers’ work experience and job satisfaction. HLM analysis showed that: after controlling for the effects of task-level variables, job satisfaction had a unique contribution and also interacted with task-level variables in predicting backing up behaviors.
CITATION STYLE
Li, Y., Xiaotian, E., Qiao, H., Zou, X., Lv, C., Xiong, L., … Zhang, J. (2018). Inter-sector backup behaviors in parallel approach ATC: The effect of job satisfaction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10906 LNAI, pp. 147–157). Springer Verlag. https://doi.org/10.1007/978-3-319-91122-9_13
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