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dc.contributor.authorTam, K
dc.contributor.authorHopcraft, Rory
dc.contributor.authorCrichton, T
dc.contributor.authorJones, Kevin
dc.date.accessioned2021-05-26T08:32:30Z
dc.date.issued2021-05-26
dc.identifier.issn2572-5084
dc.identifier.issn2572-5084
dc.identifier.urihttp://hdl.handle.net/10026.1/17202
dc.description.abstract

Many maritime activities, such as loading, unloading and transporting cargoes, consist primarily of long periods of low-stress, with some moments of high stress during complex manoeuvres or unanticipated, dangerous, incidences. The increase in autonomy provided by machines and AI is beginning to take over certain tasks in the maritime sector, to reduce costs and mitigate human error. However, with the current levels of autonomous technology available, legislation, and public trust in the technology, such solutions are only able to remove majority of tasks associated with low-stress periods. In fact, many current remote control solutions still suggest relying on human operators to deal with the complex situations AI struggle with. Such a human–automation relationship could endanger the human element. The concern is that, if the human user is spending a disproportionate part of their time dealing with multiple, unconnected, high-stress tasks, without periods to de-stress, this could increasingly put workers at risk. This paper seeks to highlight potential technical, social, and mental, issues that may arise as the sector begins implementing semi-autonomous and fully autonomous maritime operations.

dc.format.extent51-66
dc.languageen
dc.language.isoen
dc.publisherInforma UK Limited
dc.subjectMental Health
dc.subjectClinical Research
dc.titleThe potential mental health effects of remote control in an autonomous maritime world
dc.typejournal-article
dc.typeJournal Article
plymouth.issue2
plymouth.volume5
plymouth.publication-statusPublished
plymouth.journalJournal of International Maritime Safety, Environmental Affairs, and Shipping
dc.identifier.doi10.1080/25725084.2021.1922148
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA11 Computer Science and Informatics
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dcterms.dateAccepted2021-03-31
dc.rights.embargodate2021-5-28
dc.identifier.eissn2572-5084
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.1080/25725084.2021.1922148
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2021-05-26
rioxxterms.typeJournal Article/Review


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