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dc.contributor.authorClare, A.S.
dc.contributor.authorMaere, P.C.P.
dc.contributor.authorCummings, M.L.
dc.description.abstractFuture 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.en_US
dc.description.sponsorshipThis research is funded by the Office of Naval Research (ONR) and Aurora Flight Sciences.en_US
dc.publisherIntelligent Decision Technologiesen_US
dc.subjectunmanned vehicles systemsen_US
dc.subjectdecentralized algorithmsen_US
dc.subjecthuman-machine interfaceen_US
dc.subjecthuman supervisory controlen_US
dc.subjecthuman-computer interactionen_US
dc.subjectmental workloaden_US
dc.titleAssessing Operator Strategies for Real-time Replanning of Multiple Unmanned Vehiclesen_US
dc.identifier.citationClare, 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.en_US

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  • HAL Reports
    Technical Reports Series - Humans and Automation Laboratory

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