Managing alertness and performance in air traffic control operations.

1999 ◽  
Author(s):  
Kevin Gregory ◽  
Ray Oyung ◽  
Mark Rosekind
Keyword(s):  
Traffic Control ◽  
Air Traffic Control ◽  
Air Traffic ◽  
And Performance

scholarly journals Predicting Attrition and Performance in Navy and Marine Corps Air Traffic Control School

2019 ◽  
Vol 63 (1) ◽  
pp. 863-867
Author(s):  
Noelle L. Brown ◽  
Cyrus K. Foroughi ◽  
Joseph T. Coyne ◽  
Ciara Sibley ◽  
Tatana Olson ◽  
...  
Keyword(s):  
Academic Success ◽  
Traffic Control ◽  
Cognitive Abilities ◽  
Air Traffic Control ◽  
Air Traffic ◽  
Control School ◽  
Attrition Rates ◽  
Training Performance ◽  
And Performance ◽  
Armed Services

Attrition rates due to poor academic performance are particularly high for the Navy’s air traffic control training program. The school relies on scores from the Armed Services Vocational Aptitude Battery (ASVAB) for its selection criteria which do not seem to be sufficient by themselves in predicting who will succeed in training. We hypothesized that including cognitive assessments designed to assess skills specific to air traffic control would improve the ability to predict training performance. The model results showed that cognitive abilities were related to training performance beyond ASVAB scores, however, they were more successful at classifying academic success ( M = .92) than academic attrition ( M = .23). Importantly, the results highlight the importance of additional screening materials that can be used to help reduce attrition and the cost of training

scholarly journals Workload and Performance in FOPA: A Strategic Planning Interface for Air Traffic Control

2000 ◽  
Vol 44 (13) ◽  
pp. 65-68 ◽  
Author(s):  
Peter M. Moertl ◽  
John M. Canning ◽  
Joakim Johansson ◽  
Scott D. Gronlund ◽  
Michael R. P. Dougherty ◽  
...  
Keyword(s):  
Strategic Planning ◽  
Traffic Control ◽  
Air Traffic Control ◽  
Air Traffic ◽  
And Performance

Combining Time and Intensity Effects in Assessing Operator Information-Processing Load

1997 ◽  
Vol 39 (1) ◽  
pp. 30-47 ◽  
Author(s):  
Keith C. Hendy ◽  
Jianqiao Liao ◽  
Paul Milgram
Keyword(s):  
Information Processing ◽  
Traffic Control ◽  
Air Traffic Control ◽  
Quantitative Description ◽  
Processing System ◽  
Air Traffic ◽  
Human Information Processing ◽  
Processing Load ◽  
And Performance ◽  
Operator Workload

A quantitative description of the human information processor is required for predicting operator workload and performance from the simulated task time line data generated by task network models and related methods. Although many models of workload exist, few appear to be well founded in theory or to provide a satisfactory basis for a quantitative representation of operator load. Adherents of both time-and intensity-based models of operator load individually claim success for their methods. which might suggest that both factors are operating in determining operator workload and performance. This paper describes a study that explicitly investigates the relationship between a time-based factor and an intensity-based factor (amount of information to be processed) within a simulated air traffic control environment. A model is developed that posits that the load on the human information-processing system results directly from the ratio of the time necessary to process the required information to the time allowable for making a decision. This ratio, which can be identified with time pressure, determines subjective estimates of workload as well as operator performance. The model is tested against the data from the air traffic control simulation.

Demonstration of Power: Performance and Objective Workload Evaluation Research

1994 ◽  
Vol 38 (15) ◽  
pp. 941-941 ◽  
Author(s):  
Mark D. Rodgers ◽  
Carol A. Manning ◽  
Charles S. Kerr
Keyword(s):  
Performance Measures ◽  
Traffic Control ◽  
Air Traffic Control ◽  
Evaluation Research ◽  
Air Traffic ◽  
Power Performance ◽  
Situational Characteristics ◽  
Alternative Future ◽  
And Performance ◽  
Systems Simulation

The Federal Aviation Adrainistration (FAA) is developing a method to determine whether future air traffic control systems will provide the benefits to the National Airspace System (NAS) that were proposed when they were conceived. The purpose of this project was to develop a set of objective measures to characterize the productivity of an individual air traffic controller. Software was developed to compute measures of airspace characteristics, controller activities, and air traffic situational characteristics. This software, the Performance and Objective Workload Evaluation Research (POWER) program, computes a set of numerical measures based on routinely collected air traffic control data. The POWER program was written to interface with the Situation Assessment Through Re-creation of Incidents (SATORI) system, originally developed to re-create operational incidents (Rodgers & Duke, 1993). An engineering validation was conducted and a psychometric assessment is underway to evaluate the reliability, validity, and utility of the measures and a subset will be chosen to characterize controller taskload and performance. POWER will then be used to measure controller performance and taskload on ATC sectors to be transitioned to future systems. These baseline taskload and performance measures will be compared to taskload and performance measures obtained from future ATC systems after system implementation. POWER will also be used to evaluate alternative future systems display configurations at the Civil Aeromedical Institute (CAMI) Air Traffic Control Future Systems Simulation Laboratory.

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