| dc.contributor.author | Clare, A.S. | |
| dc.contributor.author | Maere, P.C.P. | |
| dc.contributor.author | Cummings, M.L. | |
| dc.date.accessioned | 2014-05-14T18:17:15Z | |
| dc.date.available | 2014-05-14T18:17:15Z | |
| dc.date.issued | 2012 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/86946 | |
| dc.description.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. | en_US |
| dc.description.sponsorship | This research is funded by the Office of Naval Research (ONR) and Aurora Flight Sciences. | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | Intelligent Decision Technologies | en_US |
| dc.subject | unmanned vehicles systems | en_US |
| dc.subject | automation | en_US |
| dc.subject | decentralized algorithms | en_US |
| dc.subject | human-machine interface | en_US |
| dc.subject | human supervisory control | en_US |
| dc.subject | human-computer interaction | en_US |
| dc.subject | mental workload | en_US |
| dc.title | Assessing Operator Strategies for Real-time Replanning of Multiple Unmanned Vehicles | en_US |
| dc.type | Article | en_US |
| dc.identifier.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. | en_US |
