Document Type
Article
Publication Date
2017
City
Dayton
Abstract
We have implemented an integrated system, called Computational Situation Awareness (CSA), into a prototype control station to coordinate dynamic task sharing and allow UxV operators to be quickly brought up to speed with sufficient situation awareness to effectively understand and handle new tasking. Within CSAwe have implemented a real-time workload model for estimating workload across a user’s visual, tactile, and cognitive resources. This workload estimate enables the system to recognize when tasks should be handed off and to whom they should be handed. By tracking user tasks, user workload, and system state, the system builds an understanding of the team’s effectiveness and current capabilities and tracks a task’s progress within the team. This understanding allows the system to determine which team member can best perform each task and to determine the information each operator will need to obtain or maintain SA without unduly increasing workload.
Repository Citation
Grigsby, S.,
Crossman, J.,
Frederikson, R.,
Purman, B.,
& Schmorrow, D.
(2017). Intelligent Systems Applied to Workload Monitoring and Task Allocation. 19th International Symposium on Aviation Psychology, 425-430.
https://corescholar.libraries.wright.edu/isap_2017/67
