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dc.contributor.advisorShattuck, Lawrence G.
dc.contributor.authorCassidy, Andrea M.
dc.date.accessioned2012-03-14T17:42:55Z
dc.date.available2012-03-14T17:42:55Z
dc.date.issued2009-06
dc.identifier.urihttp://hdl.handle.net/10945/4761
dc.descriptionApproved for public release, distribution unlimiteden_US
dc.descriptionHuman Systems Integration Reporten_US
dc.description.abstractToday's military increasingly uses automation to perform or augment the performance of complex tasks. Automated systems that support or even make important decisions require human operators to understand and trust automation in order to rely on it appropriately. This study examined the effect of varying degrees of information about an automated system's reliability on mental model accuracy, trust in, and reliance on automation. Forty-two participants were divided into three groups based on level of information received about the reliability of a simulated automated target detection aid. One group received little information, one group received accurate information, and one group received inaccurate information about the target detection aid's reliability. Each participant completed a series of 120 tasks in which he or she was required to identify the presence of a threat target and then decide whether to use an automated aid for assistance. Results indicate a significant difference between the groups' trust in and reliance on automation. The experimental group that received little information trusted the automation less but relied on it more. These findings, accompanied by observational data collected regarding the formation of mental models, demonstrate the necessity of continued research in the field of automation trust.en_US
dc.format.extentxvi, 75 p. : col. ill. ;en_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.subject.lcshTrusten_US
dc.subject.lcshAutomationen_US
dc.titleMental models, trust, and reliance exploring the effect of human perceptions on automation useen_US
dc.typeThesisen_US
dc.contributor.secondreaderMiller, Nita L.
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.contributor.departmentHuman Systems Integration
dc.contributor.departmentOperations Research (OR)
dc.description.serviceUS Navy (USN) author.en_US
dc.identifier.oclc424608253
etd.thesisdegree.nameMaster of Science In Human Systems Integrationen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineHuman Systems Integrationen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
etd.verifiednoen_US


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