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dc.contributor.advisorMcGuire, Mollie R.
dc.contributor.authorBernkopf, Miroslav
dc.date.accessioned2021-08-27T01:36:48Z
dc.date.available2021-08-27T01:36:48Z
dc.date.issued2021-06
dc.identifier.urihttps://hdl.handle.net/10945/67662
dc.description.abstractAdvancements in technology have accelerated the utilization of unmanned systems, which has led to an increased adoption rate of military human-machine teams. This study explored human reliance on automation in the context of stress, motivation, and automation reliability. A laboratory experiment was conducted with participants who were exposed to either a high- or low-stress condition and motivation or non-motivation condition. The participants executed a series of tasks alongside two automated decision aids that differed in reliability, and their decision on whether or not to rely on the decision aids was the measure of interest. The results indicate that the aid’s reliability was the primary driver for reliance decisions such that the participants relied on the high-reliability aid more than on the low-reliability aid. The aid’s reliability also affected the participants’ reaction times, such that they made decisions with the high-reliability aid faster than with the low-reliability aid. Finally, motivation had a significant effect on reliance decisions of the male participants such that in the stress condition, and when they were motivated, males relied on the decision aids more than when they were not motivated. More research is needed to fully understand the effects investigated in this experiment, and future studies should include a larger female population to allow for exploration of gender differences.en_US
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.titleEFFECTS OF STRESS AND MOTIVATION ON HUMAN RELIANCE ON AUTOMATED DECISION-SUPPORT SYSTEMSen_US
dc.typeThesisen_US
dc.contributor.secondreaderCook, Glenn R.
dc.contributor.departmentInformation Sciences (IS)
dc.subject.authorautomationen_US
dc.subject.authorrelianceen_US
dc.subject.authorstressen_US
dc.subject.authordecision makingen_US
dc.subject.authordecision supporten_US
dc.subject.authorartificial intelligenceen_US
dc.subject.authormotivationen_US
dc.subject.authorcortisolen_US
dc.subject.authorsalivaen_US
dc.description.recognitionOutstanding Thesisen_US
dc.description.serviceCaptain, United States Marine Corpsen_US
etd.thesisdegree.nameMaster of Science in Information Technology Managementen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineInformation Technology Managementen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
dc.identifier.thesisid34085
dc.description.distributionstatementApproved for public release. Distribution is unlimited.en_US
dc.identifier.curriculumcode370, Information Systems & Technology


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