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86946 |
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|a Clare, A.S.
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|a Maere, P.C.P.
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|a Cummings, M.L.
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|a Assessing Operator Strategies for Real-time Replanning of Multiple Unmanned Vehicles
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|b Intelligent Decision Technologies,
|c 2014-05-14T18:17:15Z.
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|z Get fulltext
|u http://hdl.handle.net/1721.1/86946
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|a 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.
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|a This research is funded by the Office of Naval Research (ONR) and Aurora Flight Sciences.
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|a en_US
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|a unmanned vehicles systems
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|a automation
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|a decentralized algorithms
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|a human-machine interface
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|a human supervisory control
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|a human-computer interaction
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|a mental workload
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