TY - JOUR
PY - 2022//
TI - Analysis of voice transmissions of air traffic controllers in the context of closed loop communication deviation and its relationship to loss of separation
JO - Proceedings of the Human Factors and Ergonomic Society annual meeting
A1 - Lieber, Christopher S.
A1 - Vance Paredes, Yancy
A1 - Zhen Yang Teo, Aaron
A1 - Cooke, Nancy J.
SP - 672
EP - 676
VL - 66
IS - 1
N2 - 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
LA - en SN - 2169-5067 UR - http://dx.doi.org/10.1177/1071181322661468 ID - ref1 ER -