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

2024-01-3875

11/15/2024

Features
Event
2020 Ground Vehicle Systems Engineering and Technology Symposium
Authors Abstract
Content
ABSTRACT

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.

Citation: J. E. Cossitt, C. R. Hudson, D. W. Carruth, C. L. Bethel, “Dynamic Task Allocation and Understanding of Situation Awareness Under Different Levels of Autonomy in Closed-Hatch Military Vehicles”, In Proceedings of the Ground Vehicle Systems Engineering and Technology Symposium (GVSETS), NDIA, Novi, MI, Aug. 11-13, 2020.

Meta TagsDetails
DOI
https://doi.org/10.4271/2024-01-3875
Pages
6
Citation
Cossitt, J., Hudson, C., Carruth, D., and Bethel, C., "Dynamic Task Allocation and Understanding of Situation Awareness Under Different Levels of Autonomy in Closed-Hatch Military Vehicles," SAE Technical Paper 2024-01-3875, 2024, https://doi.org/10.4271/2024-01-3875.
Additional Details
Publisher
Published
Nov 15
Product Code
2024-01-3875
Content Type
Technical Paper
Language
English