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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.
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. Linköping University, Centre for Climate Science and Policy Research, CSPR.
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-8862-7331
2019 (English)In: IFAC PAPERSONLINE, ELSEVIER , 2019, Vol. 52, no 19, 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 ships 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. Copyright (C) 2019. The Authors. Published by Elsevier Ltd. All rights reserved.

Place, publisher, year, edition, pages
ELSEVIER , 2019. Vol. 52, no 19, p. 365-370
Series
IFAC papers online, E-ISSN 2405-8963
Keywords [en]
Automation; maritime; transparency; decision support; reskilling; trajectory prediction
National Category
Other Engineering and Technologies
Identifiers
URN: urn:nbn:se:liu:diva-163063DOI: 10.1016/j.ifacol.2019.12.090ISI: 000504294500063OAI: oai:DiVA.org:liu-163063DiVA, id: diva2:1384226
Conference
14th International-Federation-of-Automatic-Control (IFAC) Symposium on Analysis, Design, and Evaluation of Human Machine Systems (HMS)
Note

Funding Agencies|Swedish Maritime Administration; Swedish Transport Administration; LFV

Available from: 2020-01-09 Created: 2020-01-09 Last updated: 2025-02-10

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Westin, CarlLundin Palmerius, KarljohanJohansson, JimmyLundberg, Jonas
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  • apa
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Language
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Output format
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