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...
Published in: | Journal of Offshore Mechanics and Arctic Engineering |
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Format: | Article in Journal/Newspaper |
Language: | English |
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American Society of Mechanical Engineers
2023
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Online Access: | 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 |
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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 |
_version_ |
1810292089932480512 |