An Iterative Design Method for Advancing Air Traffic Control and Management Training Through Immersive VFR 3D Map Visualization
OCCUPATIONAL APPLICATIONSInnovative tools that align with modern learners' preferences are essential for training in safety-critical professions like Air Traffic Control/Management. This study evaluated a Virtual Reality Visual Flight Rules 3D Map Visualization Tool designed to meet the Federal...
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Published in | IISE transactions on occupational ergonomics and human factors Vol. 13; no. 2; pp. 109 - 121 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
England
03.04.2025
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Subjects | |
Online Access | Get full text |
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Summary: | OCCUPATIONAL APPLICATIONSInnovative tools that align with modern learners' preferences are essential for training in safety-critical professions like Air Traffic Control/Management. This study evaluated a Virtual Reality Visual Flight Rules 3D Map Visualization Tool designed to meet the Federal Aviation Administration's (FAA) modernization goals. The tool immerses trainee in contextually accurate environments, enhancing engagement and self-paced learning. Most subject-matter experts favored 3D learning over traditional approaches, while commenting on potential integration into collegiate and FAA programs to support preparedness. Future research should explore scalability, long-term performance impact, and AI enhancements for personalized training and accessibility. This innovation bridges generational gaps in learning preferences and addresses the timely demand for well-trained certified professional controllers, highlighting the value of accessible self-paced customized training. A contextually accurate, cost-effective training system could improve knowledge acquisition and enable trainees to study beyond traditional classrooms, supporting rapid decision-making and self-efficacy - marking a step forward in occupational training. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 2472-5838 2472-5846 2472-5846 |
DOI: | 10.1080/24725838.2025.2449979 |