Show simple item record

dc.contributor.authorKari, Raheleh
dc.contributor.authorSteinert, Martin
dc.contributor.authorGaspar, Henrique Murilo
dc.date.accessioned2020-01-20T11:24:42Z
dc.date.available2020-01-20T11:24:42Z
dc.date.created2019-12-01T20:38:24Z
dc.date.issued2019
dc.identifier.isbn978-1-61208-754-2
dc.identifier.urihttp://hdl.handle.net/11250/2636986
dc.description.abstractElectroencephalography (EEG) is an exceptional technique in order to study human behavior via neurocognitive processes. EEG can be utilized in different domains to study the neurocognitive processes behind human-machine interactions. Furthermore, remote ship operations are an innovative approach in the maritime industry to improve the efficiency of operations. However, in the Shore Control Center (SCC), human-machine interactions are challenging and highly important in order to implement successful remote ship operations. In this respect, human operators are key components of the SCCs; performance and efficiency of their interactions directly affect remote monitoring and remote controls. Hence, the present study introduces the EEG EPOC Flex in order to objectively investigate human interactions. The current paper focuses on operator’s stress in different levels of workload within the SCC. In effect, EEG will facilitate investigating human factor issues that may affect operators’ interactions in the SCC. The result of this study can help SCC designers to design an efficient environment for SCC operators.nb_NO
dc.language.isoengnb_NO
dc.publisherInternational Academy, Research and Industry Association (IARIA)nb_NO
dc.relation.ispartofCENTRIC 2019, The Twelfth International Conference on Advances in Human oriented and Personalized Mechanisms, Technologies, and Services
dc.titleEEG Application for Human-Centered Experiments in Remote Ship Operationsnb_NO
dc.typeChapternb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber17-23nb_NO
dc.identifier.cristin1755157
dc.description.localcodeThis chapter will not be available due to copyright restrictions (c) 2019 by International Academy, Research and Industry Association (IARIA)nb_NO
cristin.unitcode194,64,93,0
cristin.unitcode194,64,92,0
cristin.unitnameInstitutt for havromsoperasjoner og byggteknikk
cristin.unitnameInstitutt for maskinteknikk og produksjon
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record