Citation

Lieber CS, Vance Paredes Y, Zhen Yang Teo A, Cooke NJ. Proc. Hum. Factors Ergon. Soc. Annu. Meet. 2022; 66(1): 672-676.

Copyright

(Copyright © 2022, Human Factors and Ergonomics Society, Publisher SAGE Publishing)

DOI

10.1177/1071181322661468

PMID

unavailable

Abstract

The present research examines a pattern-based measure of communications based on Closed Loop Communications (CLC) and non-content verbal metrics to predict Loss of Separation (LOS) in the National Airspace System (NAS). This study analyzes the transcripts from six retired Air Traffic Controllers (ATC) who participated in three simulated trials of various workloads in a TRACON arrival radar simulation.

RESULTS indicated a statistically significant model for predicting LOS based on CLC deviations (CLCD), word count in transmission, words per second, and traffic density. However, more research is required to evaluate the significance of each communication variable to predict LOS.

Language: en