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dc.contributor.authorLaumann, Karin
dc.contributor.authorRasmussen, Martin
dc.contributor.authorBoring, Ronald
dc.date.accessioned2019-03-22T09:36:53Z
dc.date.available2019-03-22T09:36:53Z
dc.date.created2017-08-08T11:28:05Z
dc.date.issued2018
dc.identifier.isbn978-3-319-60644-6
dc.identifier.urihttp://hdl.handle.net/11250/2591248
dc.description.abstractThe aim of this paper is to investigate which topics are studied within human factors, what are the “levels” studied (individuals, work group, organizations, societies), and which methods are used. The questions were answered by investigating 183 papers published in the Human Factors journal for 2015 and 2016. The results showed that more than five papers included the topics; car driving, physical workload, human-automation interaction, design and usability, human machine interface (displays, controls and alarms), mental workload, cognition, team work, training/simulations, and anthropometry. The topics that seem to be unique for human factors are all the topics that are about human-computer/technology interactions and the topic of design and usability. Experiments are the main method used in human factors and almost all of the studies are at the individual level.nb_NO
dc.language.isoengnb_NO
dc.publisherSpringer Verlagnb_NO
dc.relation.ispartofAdvances in Human Error, Reliability, Resilience, and Performance
dc.titleA Literature Study to Explore Empirically: What Is the Scientific Discipline of Human Factors and What Makes It Distinct from Other Related Fieldsnb_NO
dc.typeChapternb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber63-73nb_NO
dc.identifier.doi10.1007/978-3-319-60645-3_7
dc.identifier.cristin1484779
dc.description.localcodeThis is a post-peer-review, pre-copyedit version of an article published in [Advances in Intelligent Systems and Computing]. The final authenticated version is available online at: https://doi.org/10.1007/978-3-319-60645-3_7nb_NO
cristin.unitcode194,67,40,0
cristin.unitnameInstitutt for psykologi
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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