TY - GEN
T1 - Monitoring human performance in real-time for nas safety prognostics
AU - Ligda, Sarah V.
AU - Harris, Mariah J.
AU - Lieber, Christopher S.
AU - Cooke, Nancy J.
N1 - Funding Information:
The research reported in this paper is supported by funds from NASA University Leadership Initiative program (Contract No. NNX17AJ86A, Project Officer: Dr. Anupa Baiwa, Principal Investigator: Dr. Yongming Liu). The support is gratefully acknowledged.
Publisher Copyright:
© 2019, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.
PY - 2019
Y1 - 2019
N2 - The present research explores how real-time communication data can be used to predict human performance of Air Traffic Management personnel, and ultimately risk in the U.S. National Airspace System (NAS). In three 25-minute simulated Human-In-The-Loop scenarios of varying complexity, two of twelve retired air traffic controllers worked arrival flows landing at Sky Harbor International (KPHX) under current day operations. During these scenarios, data were collected from several dimensions of operational performance defined by breaches in separation minima, controller-pilot radio communication, and both indirect and subjective measures of workload. Relationships among these variables are presented with focus on communication patterns associated with declines in operational performance during high workload. Preliminary results suggest more frequent separation breaches in both high workload conditions, one with with over three times as many separation breaches as the lower workload condition. We discuss next steps in linking the complex multifactorial dynamics associated with human performance to assessing those dynamics in real-time.
AB - The present research explores how real-time communication data can be used to predict human performance of Air Traffic Management personnel, and ultimately risk in the U.S. National Airspace System (NAS). In three 25-minute simulated Human-In-The-Loop scenarios of varying complexity, two of twelve retired air traffic controllers worked arrival flows landing at Sky Harbor International (KPHX) under current day operations. During these scenarios, data were collected from several dimensions of operational performance defined by breaches in separation minima, controller-pilot radio communication, and both indirect and subjective measures of workload. Relationships among these variables are presented with focus on communication patterns associated with declines in operational performance during high workload. Preliminary results suggest more frequent separation breaches in both high workload conditions, one with with over three times as many separation breaches as the lower workload condition. We discuss next steps in linking the complex multifactorial dynamics associated with human performance to assessing those dynamics in real-time.
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U2 - 10.2514/6.2019-3411
DO - 10.2514/6.2019-3411
M3 - Conference contribution
AN - SCOPUS:85099440960
SN - 9781624105890
T3 - AIAA Aviation 2019 Forum
SP - 1
EP - 8
BT - AIAA Aviation 2019 Forum
PB - American Institute of Aeronautics and Astronautics Inc, AIAA
T2 - AIAA Aviation 2019 Forum
Y2 - 17 June 2019 through 21 June 2019
ER -