liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Concept of Reskilling for Automation Collaboration in Maritime Piloting
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-0646-0388
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0003-2429-0842
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-8862-7331
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.
2019 (English)In: Analysis, Design, and Evaluation of Human – Machine Systems, 2019, p. 365-370Conference paper, Published paper (Refereed)
Abstract [en]

Advanced automation has been highlighted as contributory to several accidents involving modern bridge support systems and automation aiding maritime pilots for maneuvering and navigation. This paper argues for reskilling for automation collaboration, that operators need training that provides an understanding of what data the automation uses and how, and to transfer this skill to their working environment and be able to make full use of the automation even under influence of inaccurate data. As a case, this paper explores the predictor automation, which is an advanced navigation aid that visualizes an estimation of the ship’s future trajectory on an electronic chart display. Field studies and a literature review of maritime accidents were carried out to determine difficulties maritime pilots have with understanding the predictor. This research provides valuable guidance for how automation transparency can be an important part of reskilling and how to achieve it.

Place, publisher, year, edition, pages
2019. p. 365-370
Keywords [en]
Automation, maritime, transparency, decision support, reskilling, trajectory prediction
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:liu:diva-160365OAI: oai:DiVA.org:liu-160365DiVA, id: diva2:1352926
Conference
The 14th IFAC/IFIP/IFORS/IEA symposium on Analysis Design and Evaluation of Human – Machine Systems (HMS 2019), Tallin, Estonia, September 16-19
Projects
RESKILL
Funder
Swedish Transport Administration, 151020Available from: 2019-09-20 Created: 2019-09-20 Last updated: 2019-10-03Bibliographically approved

Open Access in DiVA

No full text in DiVA

Authority records BETA

Westin, CarlLundin Palmerius, KarljohanLundberg, JonasJohansson, Jimmy

Search in DiVA

By author/editor
Westin, CarlLundin Palmerius, KarljohanLundberg, JonasJohansson, Jimmy
By organisation
Media and Information TechnologyFaculty of Science & Engineering
Production Engineering, Human Work Science and Ergonomics

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 37 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf