Publication:
AUTOMATED VOICE-CONTROLLED TACTICAL AIR TRAFFIC CONTROL SIMULATION TRAINING

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Authors
Anderson, Daniel J.
Subjects
simulation
training
air traffic control
speech recognition
synthetic voice
Advisors
Darken, Rudolph P.
McDowell, Perry L.
Date of Issue
2023-09
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
Simulation is a critical component of training tactical air traffic controllers within the Marine Air Command and Control System. The effectiveness of this training is directly related to the abilities of the simulation operators who provide the environment the student air traffic controllers train in. The majority of simulation operators tasked to provide training lack the abilities to provide effective training. This thesis research addresses the gaps in the abilities of simulation operators through leveraging speech recognition and synthetic voice software to automate simulation operator roles. The research was conducted in two phases. First, the development of an automated training prototype to fill the role of a simulation operator. And second, a survey to compare the performance of the developed prototype to the current training methods. The results of the survey show that the prototype is capable of handling routine simulation operator tasks. The prototype was particularly strong at interacting with the simulation software to “fly” simulated entities; however, the prototype struggled to match human performance in handling the complex problem of grammatical variations in air traffic control speech amongst the Marine Air Command and Control agencies.
Type
Thesis
Description
Series/Report No
Department
Computer Science (CS)
Organization
Identifiers
NPS Report Number
Sponsors
Funder
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Citation
Distribution Statement
Approved for public release. Distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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