Assessing Operator Strategies for Real-time Replanning of Multiple Unmanned Vehicles
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ClareMaereCummings2012.pdf
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Checksum (MD5)
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Author(s)
Clare, A.S.
Maere, P.C.P.
Cummings, M.L.
Date Issued
2012
Publisher
Intelligent Decision Technologies
Citation
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.
Abstract
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.
Subjects
unmanned vehicles systems
automation
decentralized algorithms
human-machine interface
human supervisory control
human-computer interaction
mental workload
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