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dc.citation.endPage 953 -
dc.citation.number 8 -
dc.citation.startPage 939 -
dc.citation.title ERGONOMICS -
dc.citation.volume 52 -
dc.contributor.author Kyung, Gyouhyung -
dc.contributor.author Nussbaum, Maury A. -
dc.date.accessioned 2023-12-22T07:42:29Z -
dc.date.available 2023-12-22T07:42:29Z -
dc.date.created 2013-05-27 -
dc.date.issued 2009-08 -
dc.description.abstract Specifying comfortable driving postures is essential for ergonomic design and evaluation of a driver workspace. The present study sought to enhance and expand upon several existing recommendations for such postures. Participants (n=38) were involved in six driving sessions that differed by vehicle class (sedan and SUV), driving venue (laboratory-based and field) or seat (from vehicles ranked high and low by vehicle comfort). Sixteen joint angles were measured in preferred postures to more completely describe driving postures, as were corresponding perceptual responses. Driving postures were found to be bilaterally asymmetric and distinct between vehicle classes, venues, age groups and gender. A subset of preferred postural ranges was identified using a filtering mechanism that ensured desired levels of perceptual responses. Accurate ranges of joint angles for comfortable driving postures, and careful consideration of vehicle and driver factors, will facilitate ergonomic design and evaluation of a driver workspace, particularly when embedded in digital human models. -
dc.identifier.bibliographicCitation ERGONOMICS, v.52, no.8, pp.939 - 953 -
dc.identifier.doi 10.1080/00140130902763552 -
dc.identifier.issn 0014-0139 -
dc.identifier.scopusid 2-s2.0-69349100954 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/3055 -
dc.identifier.url http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=69349100954 -
dc.identifier.wosid 000268277500005 -
dc.language 영어 -
dc.publisher TAYLOR & FRANCIS LTD -
dc.title Specifying comfortable driving postures for ergonomic design and evaluation of the driver workspace using digital human models -
dc.type Article -
dc.relation.journalWebOfScienceCategory Engineering, Industrial; Ergonomics; Psychology, Applied; Psychology -
dc.relation.journalResearchArea Engineering; Psychology -
dc.description.journalRegisteredClass scopus -

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