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dc.contributor.authorWulvik, Andreas
dc.contributor.authorDybvik, Henrikke
dc.contributor.authorSteinert, Martin
dc.date.accessioned2020-01-23T13:41:55Z
dc.date.available2020-01-23T13:41:55Z
dc.date.created2019-08-30T09:26:13Z
dc.date.issued2019
dc.identifier.citationCognition, Technology & Work. 2019, 1-14.nb_NO
dc.identifier.issn1435-5558
dc.identifier.urihttp://hdl.handle.net/11250/2637684
dc.description.abstractThis paper discusses how to investigate the human element in a control room setting in terms of situational settings (monitoring and active control) and mental state (workload and affect). We show an explorative experiment in a ship bridge simulator context to investigate measurement practices and uncover correlations between mental state and changes in physiology. 31 participants from an engineering student population participated in the experiment. Data were collected from two scenarios through surveys (workload and affect) and physiology sensors (electrocardiography and electrodermal activity). We highlight the following findings from our experiment: One, there is a significant difference in variables measuring mental and physiological states between two regularly occurring scenarios in the context of large ship navigation. With changes in mental and physiological states, the capacity and reaction pattern of users change, so there are different demands of the user interface and system behavior. Two, elements of mental state are correlated with changes in physiological state. Most prominently, stress and workload covary with electrodermal activity and elements of heart rate variability. This finding can support designers in evaluating different solutions by enabling them to assess changes in the mental state of users working in control rooms through physiology sensor data.nb_NO
dc.language.isoengnb_NO
dc.publisherSpringer Verlagnb_NO
dc.titleInvestigating the relationship between mental state (workload and affect) and physiology in a control room setting (ship bridge simulator)nb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber1-14nb_NO
dc.source.journalCognition, Technology & Worknb_NO
dc.identifier.doi10.1007/s10111-019-00553-8
dc.identifier.cristin1720015
dc.description.localcodeOpen Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.nb_NO
cristin.unitcode194,64,92,0
cristin.unitnameInstitutt for maskinteknikk og produksjon
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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