An analysis of factors influencing ice management performance in an experimental marine simulator and their application to decision support system design

Ice management is essential for maintaining the safety of offshore operations in Arctic regions. We present the combined results of three experiments conducted in a full-mission bridge simulator specially designed for ice management. From a quantitative analysis of the results, we infer the effect o...

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Published in:Journal of Offshore Mechanics and Arctic Engineering
Main Authors: Soper, Jonathan, Veitch, Erik, Thistle, Rebecca, Smith, Jennifer, Veitch, Brian
Format: Article in Journal/Newspaper
Language:English
Published: American Society of Mechanical Engineers 2023
Subjects:
ice
Online Access:https://doi.org/10.1115/1.4063617
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spelling ftnrccanada:oai:cisti-icist.nrc-cnrc.ca:cistinparc:57af9b31-b604-4c6f-b2ac-2cef2328a8a9 2024-09-15T17:50:15+00:00 An analysis of factors influencing ice management performance in an experimental marine simulator and their application to decision support system design Soper, Jonathan Veitch, Erik Thistle, Rebecca Smith, Jennifer Veitch, Brian 2023-10-19 text https://doi.org/10.1115/1.4063617 https://nrc-publications.canada.ca/eng/view/ft/?id=57af9b31-b604-4c6f-b2ac-2cef2328a8a9 https://nrc-publications.canada.ca/eng/view/object/?id=57af9b31-b604-4c6f-b2ac-2cef2328a8a9 https://nrc-publications.canada.ca/fra/voir/objet/?id=57af9b31-b604-4c6f-b2ac-2cef2328a8a9 eng eng American Society of Mechanical Engineers issn:0892-7219 issn:1528-896X Journal of Offshore Mechanics and Arctic Engineering, Volume: 146, Issue: 3, Publication date: 2023-10-19 doi:10.1115/1.4063617 Creative Commons, Attribution 4.0 International (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/) Creative Commons, Attribution 4.0 International (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/deed.fr) marine ice navigation decision support system automation simulator training human factors ships in ice article 2023 ftnrccanada https://doi.org/10.1115/1.4063617 2024-08-05T14:05:07Z Ice management is essential for maintaining the safety of offshore operations in Arctic regions. We present the combined results of three experiments conducted in a full-mission bridge simulator specially designed for ice management. From a quantitative analysis of the results, we infer the effect of three variables on performance: (1) experience, (2) training, and (3) Decision Support System (DSS). The results confirm that experience and training improve performance for untrained and inexperienced simulator participants. The DSS also improves performance, but with a smaller effect. Qualitative observations using vessel position heat-map diagrams and exit interviews suggested that novice participants using the DSS adopted expert strategies but carried out their tasks more slowly and with less precision. This has important consequences for the design of a future DSS used in training simulators or onboard ships. Potential improvements to the DSS design might include real-time feedback to the user, a redesign of the human–machine interface (HMI), and increasing user input and customization with a human factors focus. Peer reviewed: Yes NRC publication: No Article in Journal/Newspaper Arctic National Research Council Canada: NRC Publications Archive Journal of Offshore Mechanics and Arctic Engineering 146 3
institution Open Polar
collection National Research Council Canada: NRC Publications Archive
op_collection_id ftnrccanada
language English
topic marine
ice
navigation
decision support system
automation
simulator
training
human factors
ships in ice
spellingShingle marine
ice
navigation
decision support system
automation
simulator
training
human factors
ships in ice
Soper, Jonathan
Veitch, Erik
Thistle, Rebecca
Smith, Jennifer
Veitch, Brian
An analysis of factors influencing ice management performance in an experimental marine simulator and their application to decision support system design
topic_facet marine
ice
navigation
decision support system
automation
simulator
training
human factors
ships in ice
description Ice management is essential for maintaining the safety of offshore operations in Arctic regions. We present the combined results of three experiments conducted in a full-mission bridge simulator specially designed for ice management. From a quantitative analysis of the results, we infer the effect of three variables on performance: (1) experience, (2) training, and (3) Decision Support System (DSS). The results confirm that experience and training improve performance for untrained and inexperienced simulator participants. The DSS also improves performance, but with a smaller effect. Qualitative observations using vessel position heat-map diagrams and exit interviews suggested that novice participants using the DSS adopted expert strategies but carried out their tasks more slowly and with less precision. This has important consequences for the design of a future DSS used in training simulators or onboard ships. Potential improvements to the DSS design might include real-time feedback to the user, a redesign of the human–machine interface (HMI), and increasing user input and customization with a human factors focus. Peer reviewed: Yes NRC publication: No
format Article in Journal/Newspaper
author Soper, Jonathan
Veitch, Erik
Thistle, Rebecca
Smith, Jennifer
Veitch, Brian
author_facet Soper, Jonathan
Veitch, Erik
Thistle, Rebecca
Smith, Jennifer
Veitch, Brian
author_sort Soper, Jonathan
title An analysis of factors influencing ice management performance in an experimental marine simulator and their application to decision support system design
title_short An analysis of factors influencing ice management performance in an experimental marine simulator and their application to decision support system design
title_full An analysis of factors influencing ice management performance in an experimental marine simulator and their application to decision support system design
title_fullStr An analysis of factors influencing ice management performance in an experimental marine simulator and their application to decision support system design
title_full_unstemmed An analysis of factors influencing ice management performance in an experimental marine simulator and their application to decision support system design
title_sort analysis of factors influencing ice management performance in an experimental marine simulator and their application to decision support system design
publisher American Society of Mechanical Engineers
publishDate 2023
url https://doi.org/10.1115/1.4063617
https://nrc-publications.canada.ca/eng/view/ft/?id=57af9b31-b604-4c6f-b2ac-2cef2328a8a9
https://nrc-publications.canada.ca/eng/view/object/?id=57af9b31-b604-4c6f-b2ac-2cef2328a8a9
https://nrc-publications.canada.ca/fra/voir/objet/?id=57af9b31-b604-4c6f-b2ac-2cef2328a8a9
genre Arctic
genre_facet Arctic
op_relation issn:0892-7219
issn:1528-896X
Journal of Offshore Mechanics and Arctic Engineering, Volume: 146, Issue: 3, Publication date: 2023-10-19
doi:10.1115/1.4063617
op_rights Creative Commons, Attribution 4.0 International (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/)
Creative Commons, Attribution 4.0 International (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/deed.fr)
op_doi https://doi.org/10.1115/1.4063617
container_title Journal of Offshore Mechanics and Arctic Engineering
container_volume 146
container_issue 3
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