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dc.contributor.authorKnocton, Shala
dc.date.accessioned2020-07-22T18:49:25Z
dc.date.available2020-07-22T18:49:25Z
dc.identifier.urihttp://hdl.handle.net/10222/79573
dc.description.abstractAutomated target recognition (ATR) systems are typically designed to operate using a high sensitivity and a liberal decision criterion to reduce the risk of missing a target. The high number of false alarms that occur as a result of this design tend to lead to a decrease in operator trust and reliance. The purpose of this study was to determine how changing or informing a user of the false alarm rate of an ATR system affects the user’s level of trust and reliance in the system and the user’s performance during an underwater mine detection task. When not informed of the false alarm rate, the number of false alarms made by the system had a significant effect on the participants’ response bias. In addition, when informed of the false alarm rate, the participants had greater trust in the system and a more consistent response bias. These results suggest that informing a user of the false alarm rate of an automated system may positively influence the level of trust and reliance the user has in the aid.en_US
dc.language.isoenen_US
dc.subjectAutomationen_US
dc.subjectTrusten_US
dc.subjectRelianceen_US
dc.subjectTarget Recognitionen_US
dc.subjectUnderwater Mine Detectionen_US
dc.titleTrust and Reliance on an Automated Target Recognition System for Underwater Mine Detectionen_US
dc.date.defence2020-06-23
dc.contributor.departmentSchool of Health & Human Performanceen_US
dc.contributor.degreeMaster of Scienceen_US
dc.contributor.external-examinerDr. Aren Hunteren_US
dc.contributor.graduate-coordinatorDr. Melanie Keatsen_US
dc.contributor.thesis-readerDr. Lori Dithurbideen_US
dc.contributor.thesis-readerDr. John Kozeyen_US
dc.contributor.thesis-supervisorDr. Heather Neyedlien_US
dc.contributor.ethics-approvalReceiveden_US
dc.contributor.manuscriptsNot Applicableen_US
dc.contributor.copyright-releaseNot Applicableen_US
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