Assessment of Manned-Unmanned Team Performance: Comprehensive After-Action Review Technology Development

Abstract

Training in the US Army starts with the individual. Soldiers work on acquiring skills, knowledge, and attributes in order to perform tasks to support operational requirements. Feedback is provided through After-Action Reviews (AARs) to support training and improve future operations. A main difficulty for developing effective training for manned-unmanned teams (MUM-T) is that AARs with human-agent teams are yet to be developed. While AAR processes for human teams are well trained in the Army, the current methods for delivering an AAR do not account for unmanned systems that are integrated in collective tasks. The US Army’s Robotic Wingman program provides a use case for discussing potential technology solutions that can support critical human factors for MUM-T during a gunnery collective task. Understanding the capabilities and limitations of an unmanned platform will help develop effective training plans and performance measures for the unmanned asset which is now part of the team.