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dc.contributor.authorDonmez, Birsen
dc.contributor.authorNehme, Carl E.
dc.contributor.authorCummings, M. L.
dc.date.accessioned2011-08-23T14:43:30Z
dc.date.available2011-08-23T14:43:30Z
dc.date.issued2010-11
dc.date.submitted2009-07
dc.identifier.issn1083-4427
dc.identifier.otherINSPEC Accession Number: 11588420
dc.identifier.urihttp://hdl.handle.net/1721.1/65349
dc.description.abstractDiscrete-event simulations for futuristic unmanned vehicle (UV) systems enable a cost- and time-effective methodology for evaluating various autonomy and human-automation design parameters. Operator mental workload is an important factor to consider in such models. We suggest that the effects of operator workload on system performance can be modeled in such a simulation environment through a quantitative relation between operator attention and utilization, i.e., operator busy time used as a surrogate real-time workload measure. To validate our model, a heterogeneous UV simulation experiment was conducted with 74 participants. Performance-based measures of attention switching delays were incorporated in the discrete-event simulation model by UV wait times due to operator attention inefficiencies (WTAIs). Experimental results showed that WTAI is significantly associated with operator utilization (UT) such that high UT levels correspond to higher wait times. The inclusion of this empirical UT-WTAI relation in the discrete-event simulation model of multiple UV supervisory control resulted in more accurate replications of data, as well as more accurate predictions for alternative UV team structures. These results have implications for the design of future human-UV systems, as well as more general multiple task supervisory control models.en_US
dc.description.sponsorshipCharles River Analytics (Firm)en_US
dc.description.sponsorshipUnited States. Office of Naval Researchen_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/TSMCA.2010.2046731en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceIEEEen_US
dc.titleModeling workload impact in multiple unmanned vehicle supervisory controlen_US
dc.typeArticleen_US
dc.identifier.citationDonmez, B., C. Nehme, and M.L. Cummings. “Modeling Workload Impact in Multiple Unmanned Vehicle Supervisory Control.” Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions On 40.6 (2010) : 1180-1190. © 2010 IEEE.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Aeronautics and Astronauticsen_US
dc.contributor.approverCummings, M. L.
dc.contributor.mitauthorCummings, M. L.
dc.relation.journalProceedings of the IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humansen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsDonmez, Birsen; Nehme, Carl; Cummings, Mary L.en
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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