Title

A Generic After Action Review Capability For Game-Based Training

Keywords

AAR; After action review; game-based training

Abstract

Recent years have seen a surge of interest in game-based training by the military. Game-based simulation possesses a number of potential benefits including decreased testbed complexity and cost, increased agility regarding both software and hardware, and the possibility of increased effectiveness relative to traditional training methods. One area of weakness in game-based training is the difficulty in supporting an after action review (AAR). The paper explores the emerging problems faced by systems attempting to facilitate AAR in game-based training scenarios. It presents an architecture that addresses or circumvents these issues in a flexible and game-agnostic manner, and details the limitations introduced by such an approach. A discussion on future work leveraging the plugin-based SOCRATES architecture to augment video for improved training is included. © 2011 Springer-Verlag Berlin Heidelberg.

Publication Date

7-13-2011

Publication Title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume

6781 LNAI

Number of Pages

628-634

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1007/978-3-642-21741-8_67

Socpus ID

79960086300 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/79960086300

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