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dc.contributor.advisorBoger, Dan C.
dc.contributor.advisorMiller, Scot A.
dc.contributor.authorClarke, Alan J.
dc.contributor.authorKnudson, Daniel F. III
dc.date.accessioned2018-08-24T22:35:00Z
dc.date.available2018-08-24T22:35:00Z
dc.date.issued2018-06
dc.identifier.urihttp://hdl.handle.net/10945/59638
dc.descriptionApproved for public release. distribution is unlimiteden_US
dc.description.abstractThe Department of Defense (DoD) is increasingly hoping to employ unmanned systems and artificial intelligence to achieve a strategic advantage over adversaries. While some tasks may be suitable for machine substitution, many parts of the DoD’s mission continue to require boots on the ground and humans in the loop working in interdependent human-machine teams. The commercial unmanned systems marketplace and active UxS and autonomous systems offer military research and acquisitions professionals promising technical solutions, but may integrate poorly in a human-machine team application. The authors developed a framework for analyzing task-to-technology matches and team design for military human-machine teams. The framework is grounded in the cognitive theories of situational awareness and decision making, team dynamics, and functional allocation literature. Additionally, the research recommends developing a shared DoD-wide understanding of autonomous systems terms and taxonomy, and educating operational leaders, acquisitions staff, and executives about realistic expectations and employment of autonomous systems in human-machine environments.en_US
dc.description.urihttp://archive.org/details/examinationofcog1094559638
dc.publisherMonterey, CA; Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleEXAMINATION OF COGNITIVE LOAD IN THE HUMAN-MACHINE TEAMING CONTEXTen_US
dc.typeThesisen_US
dc.contributor.departmentInformation Sciences (IS)
dc.contributor.departmentInformation Sciences (IS)
dc.subject.authorautonomyen_US
dc.subject.authorhuman-machine teamingen_US
dc.subject.authorunmanned systemsen_US
dc.description.recognitionOutstanding Thesisen_US
dc.description.serviceLieutenant Colonel, United States Marine Corpsen_US
dc.description.serviceMajor, United States Marine Corpsen_US
etd.thesisdegree.nameMaster of Science in Information Technology Managementen_US
etd.thesisdegree.nameMaster of Science in Information Technology Managementen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineInformation Technology Managementen_US
etd.thesisdegree.disciplineInformation Technology Managementen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
dc.identifier.thesisid29421


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