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dc.contributor.advisorNancy G. Leveson.en_US
dc.contributor.authorFrance, Megan Elizabethen_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Aeronautics and Astronautics.en_US
dc.date.accessioned2017-12-05T16:24:19Z
dc.date.available2017-12-05T16:24:19Z
dc.date.copyright2017en_US
dc.date.issued2017en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/112357
dc.descriptionThesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2017.en_US
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 109-110).en_US
dc.description.abstractFrom space shuttles to airplanes to everyday automobiles, today's systems are increasingly complex-and increasingly connected. In order to ensure that increased complexity does not simply bring an increased number of accidents, this new complexity demands new safety analysis tools. Systems-Theoretic Accident Model and Processes (STAMP) is a new accident causality model developed by Nancy Leveson at the Massachusetts Institute of Technology. This model has inspired several new methods, from accident analyses like Causal Analysis based on STAMP (CAST) to hazard analyses like Systems-Theoretic Process Analysis (STPA). Unlike traditional methods, which are based on chain-of-events causality models and generally identify only component failures, STPA can be used to identify design flaws, component interactions, and human factors that contribute to accidents. Though STPA takes a more thoughtful approach to human error than traditional methods--requiring analysts to consider how system conditions may lead to "errors"-it does not provide extensive guidance for understanding why humans behave the way they do. Prior efforts have been made to add such guidance to STPA, but there has yet to emerge a widely accepted, easy-to-use method for examining human behavior using STPA. The goal of this work is to propose a new method for examining the role of humans in complex automated systems using STPA. This method, called STPA-Engineering for Humans, provides guidance for identifying causal scenarios related to interactions between humans and automation and understanding why unsafe behaviors may appear appropriate in the operational context. The Engineering for Humans method integrates prior research on STPA and human factors into a new model intended for industry applications. Importantly, this model provides a framework for dialogue between human factors experts and other engineers. In this thesis, the Engineering for Humans method is applied to a case study of an automated driving system called Automated Parking Assist. Four different implementations of this system at different levels of automation are examined. Finally, it is demonstrated that STPA-Engineering for Humans can be used to compare how multiple system designs would affect the safety of the system with respect to the behavior of the human operator.en_US
dc.description.statementofresponsibilityby Megan Elizabeth France.en_US
dc.format.extent110 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectAeronautics and Astronautics.en_US
dc.titleEngineering for humans : a new extension to STPAen_US
dc.title.alternativeNew extension to STPAen_US
dc.title.alternativeNew extension to Systems-Theoretic Process Analysisen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Aeronautics and Astronautics
dc.identifier.oclc1008570407en_US


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