A Generic After Action Review Capability For Game-Based Training

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