Autonomy Artificial Intelligence Robotics (AAIR)

Dynamic Task Allocation and Understanding of Situation Awareness Under Different Levels of Autonomy in Closed-Hatch Military Vehicles

by Jessie E. Cossitt; Christopher R. Hudson; Daniel W. Carruth; Cindy L. Bethel


There is a need to better understand how operators and autonomous vehicle control systems can work together in order to provide the best-case scenario for utilization of autonomous capabilities in military missions to reduce crew sizes and thus reduce labor costs. The goal of this research is to determine how different levels of autonomous capabilities in vehicles affect the operator’s situational awareness, cognitive load, and ability to respond to road events while also responding to other auditory and visual tasks. Understanding these interactions is a crucial step to eventually determining the best way to allocate tasks to crew members in missions where crew size has been reduced due to the utilization of autonomous vehicles.