Document Type
Article
Publication Date
2013
City
Dayton
Abstract
How many unmanned systems can the operator effectively control and/or supervise before the operator begins to experience higher mental workload, thus losing SA and degrading overall mission performance? In this paper we describe the results of a literature search that was undertaken to identify factors of particular importance to the control of unmanned systems. We present the architecture for a computational model of the controller of multiple UVs that accounts for the diminishing gains in overall mission productivity and eventual loss in productivity that appears to occur as the number of vehicles under supervision, N, increases.
Repository Citation
Wickens, C. D.,
Gosakan, M.,
Gacy, M.,
& Laux, L.
(2013). Control of Multiple Unmanned Vehicles: A Capacity Model from a Meta-Analysis. 17th International Symposium on Aviation Psychology, 347-352.
https://corescholar.libraries.wright.edu/isap_2013/57
