LVC Allocator : Aligning training value with scenario design for envisioned LVC training of fast-jet pilots
(2022) In Journal of Defense Modeling and Simulation 19(3). p.287-298- Abstract
Live virtual constructive (LVC) flight simulations mix pilots flying actual aircraft, pilots flying in simulators, and computer-generated forces, in joint scenarios. Training resources invested in LVC scenarios must give a high return, and therefore pilots in both live aircraft and simulators need to experience training value for the extensive resources invested in both, an aspect not emphasized in current LVC research. Thus, there is a need for a function, in this article described as LVC Allocator, which assures that complex LVC training scenarios include aspects of training value for all participants, and, thus, purposefully align scenario design with training value. A series of workshops were carried out with 16 fast-jet pilots... (More)
Live virtual constructive (LVC) flight simulations mix pilots flying actual aircraft, pilots flying in simulators, and computer-generated forces, in joint scenarios. Training resources invested in LVC scenarios must give a high return, and therefore pilots in both live aircraft and simulators need to experience training value for the extensive resources invested in both, an aspect not emphasized in current LVC research. Thus, there is a need for a function, in this article described as LVC Allocator, which assures that complex LVC training scenarios include aspects of training value for all participants, and, thus, purposefully align scenario design with training value. A series of workshops were carried out with 16 fast-jet pilots articulating the training challenges that LVC could contribute to solving, and allocating LVC entities in a training scenario design exercise. The training values for LVC included large scenarios, weapon delivery, flight safety, adversary performance, and weather dependence. These values guided the reasoning of how to allocate different entities to L, V, or C entities. Allocations were focused on adversaries as V, keeping entity types together, weather dependence, low-altitude and supersonic flying requirements, and to let L entities handle and lead complex tasks to keep the human in the loop.
(Less)
- author
- Aronsson, Sanna ; Artman, Henrik ; Woltjer, Rogier LU ; Mitchell, Mikael and Ramberg, Robert
- publishing date
- 2022-07
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Live virtual constructive, scenario design, training value
- in
- Journal of Defense Modeling and Simulation
- volume
- 19
- issue
- 3
- pages
- 12 pages
- publisher
- SAGE Publications
- external identifiers
-
- scopus:85092175028
- ISSN
- 1548-5129
- DOI
- 10.1177/1548512920958079
- language
- English
- LU publication?
- no
- additional info
- Publisher Copyright: © The Author(s) 2020.
- id
- 68e3030d-ce31-4ed7-b3d3-62eafdfcce1e
- date added to LUP
- 2024-03-05 18:41:04
- date last changed
- 2024-03-06 14:54:13
@article{68e3030d-ce31-4ed7-b3d3-62eafdfcce1e,
abstract = {{<p>Live virtual constructive (LVC) flight simulations mix pilots flying actual aircraft, pilots flying in simulators, and computer-generated forces, in joint scenarios. Training resources invested in LVC scenarios must give a high return, and therefore pilots in both live aircraft and simulators need to experience training value for the extensive resources invested in both, an aspect not emphasized in current LVC research. Thus, there is a need for a function, in this article described as LVC Allocator, which assures that complex LVC training scenarios include aspects of training value for all participants, and, thus, purposefully align scenario design with training value. A series of workshops were carried out with 16 fast-jet pilots articulating the training challenges that LVC could contribute to solving, and allocating LVC entities in a training scenario design exercise. The training values for LVC included large scenarios, weapon delivery, flight safety, adversary performance, and weather dependence. These values guided the reasoning of how to allocate different entities to L, V, or C entities. Allocations were focused on adversaries as V, keeping entity types together, weather dependence, low-altitude and supersonic flying requirements, and to let L entities handle and lead complex tasks to keep the human in the loop.</p>}},
author = {{Aronsson, Sanna and Artman, Henrik and Woltjer, Rogier and Mitchell, Mikael and Ramberg, Robert}},
issn = {{1548-5129}},
keywords = {{Live virtual constructive; scenario design; training value}},
language = {{eng}},
number = {{3}},
pages = {{287--298}},
publisher = {{SAGE Publications}},
series = {{Journal of Defense Modeling and Simulation}},
title = {{LVC Allocator : Aligning training value with scenario design for envisioned LVC training of fast-jet pilots}},
url = {{http://dx.doi.org/10.1177/1548512920958079}},
doi = {{10.1177/1548512920958079}},
volume = {{19}},
year = {{2022}},
}