Research reading 093 / Actors / 2023
A Virtual Simulation-Pilot Agent for Training of Air Traffic Controllers
Source authors: Juan Zuluaga-Gomez; Amrutha Prasad; Iuliia Nigmatulina; Petr Motlicek; Matthias Kleinert
Originally published in Aerospace · 2023
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A Virtual Simulation-Pilot Agent for Training of Air Traffic Controllers
Juan Zuluaga-Gomez; Amrutha Prasad; Iuliia Nigmatulina; Petr Motlicek; Matthias Kleinert
The guide and its evidence limits are journal annotations, not quotations from the original researchers. The complete original paper is not currently in this agent’s searchable context.
A4 Synthetic actors and human–AI teams
Why read this for flight training?
Builds a virtual pilot that recognizes controller speech and produces readbacks. A concrete actor example for shared aviation scenarios and communication practice.
How to interpret the evidence
Speech benchmarks do not establish improved controller or pilot learning outcomes.
Screening basis: Abstract screened. This annotation identifies relevance and limits; it does not replace appraisal of the original methods and findings.
Cite the original article
Juan Zuluaga-Gomez; Amrutha Prasad; Iuliia Nigmatulina; Petr Motlicek; Matthias Kleinert (2023). A Virtual Simulation-Pilot Agent for Training of Air Traffic Controllers. Aerospace, 10(5), 490. https://doi.org/10.3390/aerospace10050490
Publication record
The original paper retains its published authors, venue and DOI. This journal’s reading guide was prepared with AI assistance under the editorial direction of Dr. Freedom Cheteni. The source authors are not credited as authors of this annotation. No new peer review or DOI is claimed for the guide.
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