dc.contributor.author | Kari, Raheleh | |
dc.contributor.author | Steinert, Martin | |
dc.contributor.author | Gaspar, Henrique Murilo | |
dc.date.accessioned | 2020-01-20T11:24:42Z | |
dc.date.available | 2020-01-20T11:24:42Z | |
dc.date.created | 2019-12-01T20:38:24Z | |
dc.date.issued | 2019 | |
dc.identifier.isbn | 978-1-61208-754-2 | |
dc.identifier.uri | http://hdl.handle.net/11250/2636986 | |
dc.description.abstract | Electroencephalography (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.iso | eng | nb_NO |
dc.publisher | International Academy, Research and Industry Association (IARIA) | nb_NO |
dc.relation.ispartof | CENTRIC 2019, The Twelfth International Conference on Advances in Human oriented and Personalized Mechanisms, Technologies, and Services | |
dc.title | EEG Application for Human-Centered Experiments in Remote Ship Operations | nb_NO |
dc.type | Chapter | nb_NO |
dc.description.version | publishedVersion | nb_NO |
dc.source.pagenumber | 17-23 | nb_NO |
dc.identifier.cristin | 1755157 | |
dc.description.localcode | This chapter will not be available due to copyright restrictions (c) 2019 by International Academy, Research and Industry Association (IARIA) | nb_NO |
cristin.unitcode | 194,64,93,0 | |
cristin.unitcode | 194,64,92,0 | |
cristin.unitname | Institutt for havromsoperasjoner og byggteknikk | |
cristin.unitname | Institutt for maskinteknikk og produksjon | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |