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Current and future methodologies of after action review in simulation-based training

conference contribution
posted on 2018-05-30, 00:00 authored by Samer HanounSamer Hanoun, Saeid Nahavandi
© 2018 IEEE. After Action Review (AAR) is a crucial component in training and particularly in Simulation-based Training (SBT). The effectiveness of AAR is highly dependent on the ability to adequately track and measure the individuals performance during the training exercise scenario. Evaluation and analysis of the individuals captured performance gives importance to AAR and can support developing automated AAR tools where the relationships and connections between actions and events can be automatically determined. In this paper, we regard AAR in SBT with three goals in mind. Firstly, to shed some light on current AAR practices in different SBT application domains. Secondly, to present different AAR methodologies that are followed. Finally, to recommend on future methodologies that are worth adopting to enable better AAR practices in the future.

History

Event

Systems. Conference (2018 : 12th : Vancouver, British Columbia)

Pagination

1 - 6

Publisher

IEEE

Location

Vancouver, British Columbia

Place of publication

Piscataway, N.J.

Start date

2018-04-24

End date

2018-04-26

ISBN-13

9781538636640

Language

eng

Publication classification

E1 Full written paper - refereed

Copyright notice

2018, IEEE

Title of proceedings

SysCon 2018 : Proceedings of the 12th Annual IEEE International Systems Conference

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