Assessing Operator Strategies for Real-time Replanning of Multiple Unmanned Vehicles
Author(s)Clare, A.S.; Maere, P.C.P.; Cummings, M.L.
Future unmanned vehicles systems will invert the operator-to-vehicle ratio so that one operator controls a decentralized network of heterogeneous unmanned vehicles. This study examines the impact of allowing an operator to adjust the rate of prompts to view automation-generated plans on system performance and operator workload. Results showed that the majority of operators chose to adjust the replan prompting rate. The initial replan prompting rate had a significant framing effect on the replan prompting rates chosen throughout a scenario. Higher initial replan prompting rates led to significantly lower system performance. Operators successfully self-regulated their task-switching behavior to moderate their workload.
Intelligent Decision Technologies
Clare, A.S., Maere, P.C.P., and Cummings, M.L., Assessing Operator Strategies for Real-time Replanning of Multiple Unmanned Vehicles, Intelligent Decision Technologies, Vol. 6, No. 3, pp. 221-231, 2012.
unmanned vehicles systems, automation, decentralized algorithms, human-machine interface, human supervisory control, human-computer interaction, mental workload