Abstract
The advancements of modeling and simulation systems allow individuals to acquire knowledge, demonstrate procedural skills, and practice team tactics, which may be too dangerous or resource-intensive to perform live. In this paper, we describe how advancements in training systems have affected a special population of U.S. Naval aviators, the Landing Signal Officers (LSOs). The primary responsibilities of the LSOs include the safe and expeditious recovery of the Fleet aboard the aircraft carrier. LSOs are required to perform their job in a myriad of extreme environments and aircraft conditions. Considering that a majority of LSO training is obtained on-the-job, it is both impractical and hazardous to continue training in adverse conditions. However, due to modern advancements in Fleet synthetic training, LSOs can gain experience in these adverse conditions by utilizing a training simulator. Currently, LSOs perform approximately six-to-eight hours of training related to performance in extreme environments in the 2H111 dome simulator. Although the 2H111 simulator mirrors many aspects of the aircraft carrier in high fidelity, it is not without its limitations. We describe the current LSO training pipeline and how the Fleet benefits from virtual reality (VR), as well as augmented reality (AR) training systems.
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Acknowledgements
This work was supported in part by the Navy Innovative Science and Engineering (NISE) program (Section 219) and sponsored by the Office of Naval Research. The views expressed herein are those of the authors and do not necessarily reflect the official position of the Department of Defense, its components, or the organizations with which the individuals are affiliated.
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Appendix: Technical Terms
Appendix: Technical Terms
Term | Definition |
---|---|
Aircraft recovery | Procedure of landing the aircraft aboard the aircraft carrier |
Arrested landings | When an aircraft engages the deck pendant, purchasing cable, and the arresting wires to absorb energy and stop the aircraft |
Backup LSO | Monitor changes to aircraft fuel, weights, or winds that may affect landing; clarify any misinformation reported via CATCC; call a waveoff, if appropriate |
Barricade | A large, reinforced net that involves aiding in the recovery and arrest of the aircraft in extreme emergencies |
CAG paddles | Maintain complete situational awareness of the deck; perform Primary LSO, Backup LSO, and Deck Caller duties in addition to their own duties |
Calling | Calling refers the vocal communication between the LSO and the pilot. For example, one type of call is “WAVEOFF,” which indicates to the pilot that the deck is not clear and the pilot cannot proceed to land on the carrier. In this case, the pilot must circle back around to the carrier flight path and proceed to attempt another arrested landing |
Clear the deck | Safely recover the aircraft on the landing area and avoiding damage to the deck or deck personnel during recovery |
Deck caller | Report the appropriate waveoff window to the LSOs on the platform; scan the environment for events that may foul the deck; call a waveoff, if appropriate |
Foul deck | A deck is fouled when an aircraft, weather, personnel, or other objects are present in the landing area |
“Peanut gallery” | An area of the aircraft carrier where enlisted members can view aircraft recovery |
Primary LSO | Visually estimates aircraft glidescope; confirm pilot information with CATCC; call a waveoff, if appropriate |
“Top nugget” | The best performer in a group of first-tour aviators |
Varsity conditions | Extreme weather and sea conditions (e.g., pitching deck, sandstorm) |
Waveoff window | The point at which an aircraft can safely abort landing on the carrier |
Waving | Traditionally, waving used to refer to the action of landing the aircraft on the deck via standardized gestures supplemented with flags or paddles. Today, ‘waving’ refers to the voice calls communicated between the pilot and LSO |
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Neigel, A., Priest, H. (2018). Advancements in Fleet Synthetic Training Systems: A Use Case of Landing Signal Officers. In: Cassenti, D. (eds) Advances in Human Factors in Simulation and Modeling. AHFE 2017. Advances in Intelligent Systems and Computing, vol 591. Springer, Cham. https://doi.org/10.1007/978-3-319-60591-3_21
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DOI: https://doi.org/10.1007/978-3-319-60591-3_21
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