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dc.contributor.advisorHalladay, Carolyn
dc.contributor.authorWhite, Jackie L. J.
dc.dateDec-17
dc.date.accessioned2018-02-07T20:35:28Z
dc.date.available2018-02-07T20:35:28Z
dc.date.issued2017-12
dc.identifier.urihttp://hdl.handle.net/10945/56837
dc.description.abstractThe integration of self-driving vehicles introduces a unique and unprecedented human-machine interface that brings promise and peril. Several socially constructed theories try to explain this human-intelligent machine interface and predict how the future will look. This thesis offers a counter-narrative called Brown's Point that suggests an alternative way of thinking about this relationship. The first Autopilot fatality offers a window into the human considerations needing attention as these intelligent machines, such as self-driving vehicles, combine with humans. How can the human-machine interface be optimized to ensure it offers the most benefit and safety for humanity? This thesis investigated the causal variables that led to the first Autopilot fatality by using Joshua Brown's interface with the technology before and during the accident. I combined the findings from the accident investigation with various heuristics regarding the human-machine interface, theories from cognitive psychology, and sociological constructs to determine how Brown came to trust a machine he knew was fallible.en_US
dc.description.urihttp://archive.org/details/humansintelligen1094556837
dc.publisherMonterey, California: Naval Postgraduate Schoolen_US
dc.rightsCopyright is reserved by the copyright owner.en_US
dc.titleHumans, intelligent technology, and their interface: a study of Brown's Pointen_US
dc.typeThesisen_US
dc.contributor.secondreaderBellavita, Christopher
dc.contributor.departmentNational Security Affairs (NSA)
dc.subject.authorself-driving vehicle or caren_US
dc.subject.authorautonomous vehiclesen_US
dc.subject.authorTesla fatalityen_US
dc.subject.authorBrown's Pointen_US
dc.subject.authorhybrid phaseen_US
dc.subject.authorhuman-machine interfaceen_US
dc.subject.authorautopiloten_US
dc.subject.authorsingularityen_US
dc.subject.authoraugmenting humansen_US
dc.subject.authorhuman augmentationen_US
dc.subject.authorartificial intelligenceen_US
dc.description.serviceCaptain, Albuquerque Fire Department, Albuquerque, New Mexicoen_US
etd.thesisdegree.nameMaster of Arts in Security Studies (Homeland Security and Defense)en_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineSecurity Studies (Homeland Security and Defense)en_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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