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dc.contributor.author Son, Joon Woo -
dc.contributor.author Park, Myoung Ouk -
dc.date.accessioned 2018-06-01T03:57:40Z -
dc.date.available 2018-06-01T03:57:40Z -
dc.date.created 2018-03-29 -
dc.date.issued 2017-08 -
dc.identifier.citation Journal of Ergonomics, v.7, no.5, pp.1 - 6 -
dc.identifier.issn 2165-7556 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/6442 -
dc.description.abstract The human factors of transition in highly automated driving is becoming crucial, because transitions between the driver and the automation will remain a key element of automated driving until fully automated driving replace manual operation. This paper aims to suggest the framework to investigate human factors in transition of highly automated driving. The framework classifies transitions according to the transition initiator, control after transition, and situation awareness. Based on the framework, we retrieved previous studies and categorized their experimental designs. The inclusion criteria for the review were transitions which involved SAE level 3 automated driving and the research topics on driver behavior and/or performance during a transition. Finally, we interpreted the empirical studies on transitions using the proposed framework, and suggested areas for future research. -
dc.language English -
dc.publisher Omics Publishing Group -
dc.title Situation Awareness and Transitions in Highly Automated Driving A Framework and Mini-Review -
dc.type Article -
dc.identifier.doi 10.4172/2165-7556.1000212 -
dc.type.local Article(Overseas) -
dc.type.rims ART -
dc.description.journalClass 1 -
dc.citation.publicationname Journal of Ergonomics -
dc.identifier.citationVolume 7 -
dc.identifier.citationNumber 5 -
dc.identifier.citationStartPage 1 -
dc.identifier.citationEndPage 6 -
dc.identifier.citationTitle Journal of Ergonomics -
dc.type.journalArticle Review -
dc.description.isOpenAccess Y -
dc.contributor.affiliatedAuthor Son, Joon Woo -
dc.contributor.affiliatedAuthor Park, Myoung Ouk -
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Division of AI, Big data and Block chain 1. Journal Articles

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