基于混合现实的LSA救生艇操作培训

Q1 Computer Science Virtual Reality Intelligent Hardware Pub Date : 2023-06-01 DOI:10.1016/j.vrih.2023.02.005
Spyridon Nektarios Bolierakis, Margarita Kostovasili, Lazaros Karagiannidis, Dr. Angelos Amditis
{"title":"基于混合现实的LSA救生艇操作培训","authors":"Spyridon Nektarios Bolierakis,&nbsp;Margarita Kostovasili,&nbsp;Lazaros Karagiannidis,&nbsp;Dr. Angelos Amditis","doi":"10.1016/j.vrih.2023.02.005","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>This work aims to provide an overview of the Mixed Reality (MR) technology’s use in maritime industry for training purposes. Current training procedures cover a broad range of procedural operations for Life-Saving Appliances (LSA) lifeboats; however, several gaps and limitations have been identified related to the practical training that can be addressed through the use of MR. Augmented, Virtual and Mixed Reality applications are already used in various fields in maritime industry, but its full potential has not been yet exploited. SafePASS project aims to exploit MR advantages in the maritime training by introducing a relevant application focusing on use and maintenance of LSA lifeboats.</p></div><div><h3>Methods</h3><p>An MR Training application is proposed supporting the training of crew members in equipment usage and operation, as well as in maintenance activities and procedures. The application consists of the training tool that trains crew members on handling lifeboats, the training evaluation tool that allows trainers to assess the performance of trainees and the maintenance tool that supports crew members to perform maintenance activities and procedures on lifeboats. For each tool, an indicative session and scenario workflow are implemented, along with the main supported interactions of the trainee with the equipment.</p></div><div><h3>Results</h3><p>The application has been tested and validated both in lab environment and using a real LSA lifeboat, resulting to improved experience for the users that provided feedback and recommendations for further development. The application has also been demonstrated onboard a cruise ship, showcasing the supported functionalities to relevant stakeholders that recognized the added value of the application and suggested potential future exploitation areas.</p></div><div><h3>Conclusions</h3><p>The MR Training application has been evaluated as very promising in providing a user-friendly training environment that can support crew members LSA lifeboat operation and maintenance, while it is still subject to improvement and further expansion.</p></div>","PeriodicalId":33538,"journal":{"name":"Virtual Reality Intelligent Hardware","volume":"5 3","pages":"Pages 201-212"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Training on LSA lifeboat operation using Mixed Reality\",\"authors\":\"Spyridon Nektarios Bolierakis,&nbsp;Margarita Kostovasili,&nbsp;Lazaros Karagiannidis,&nbsp;Dr. Angelos Amditis\",\"doi\":\"10.1016/j.vrih.2023.02.005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>This work aims to provide an overview of the Mixed Reality (MR) technology’s use in maritime industry for training purposes. Current training procedures cover a broad range of procedural operations for Life-Saving Appliances (LSA) lifeboats; however, several gaps and limitations have been identified related to the practical training that can be addressed through the use of MR. Augmented, Virtual and Mixed Reality applications are already used in various fields in maritime industry, but its full potential has not been yet exploited. SafePASS project aims to exploit MR advantages in the maritime training by introducing a relevant application focusing on use and maintenance of LSA lifeboats.</p></div><div><h3>Methods</h3><p>An MR Training application is proposed supporting the training of crew members in equipment usage and operation, as well as in maintenance activities and procedures. The application consists of the training tool that trains crew members on handling lifeboats, the training evaluation tool that allows trainers to assess the performance of trainees and the maintenance tool that supports crew members to perform maintenance activities and procedures on lifeboats. For each tool, an indicative session and scenario workflow are implemented, along with the main supported interactions of the trainee with the equipment.</p></div><div><h3>Results</h3><p>The application has been tested and validated both in lab environment and using a real LSA lifeboat, resulting to improved experience for the users that provided feedback and recommendations for further development. The application has also been demonstrated onboard a cruise ship, showcasing the supported functionalities to relevant stakeholders that recognized the added value of the application and suggested potential future exploitation areas.</p></div><div><h3>Conclusions</h3><p>The MR Training application has been evaluated as very promising in providing a user-friendly training environment that can support crew members LSA lifeboat operation and maintenance, while it is still subject to improvement and further expansion.</p></div>\",\"PeriodicalId\":33538,\"journal\":{\"name\":\"Virtual Reality Intelligent Hardware\",\"volume\":\"5 3\",\"pages\":\"Pages 201-212\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Virtual Reality Intelligent Hardware\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2096579623000128\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Virtual Reality Intelligent Hardware","FirstCategoryId":"1093","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2096579623000128","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 0

摘要

背景这项工作旨在提供混合现实(MR)技术在海事行业中用于培训目的的概述。目前的培训程序涵盖救生设备救生艇的广泛程序操作;然而,已经发现了一些与实践培训相关的差距和局限性,这些差距和局限可以通过使用MR来解决。增强、虚拟和混合现实应用已经在海事行业的各个领域中使用,但其全部潜力尚未得到开发。SafePASS项目旨在通过引入专注于LSA救生艇使用和维护的相关应用程序,利用MR在海事培训中的优势。方法提出MR培训应用程序,支持船员在设备使用和操作以及维护活动和程序方面的培训。该应用程序包括培训船员操作救生艇的培训工具、允许培训师评估受训人员表现的培训评估工具以及支持船员在救生艇上执行维护活动和程序的维护工具。对于每种工具,都会实施一个指示性会话和场景工作流,以及受支持的受训人员与设备的主要交互。结果该应用程序已在实验室环境中和使用真实的LSA救生艇进行了测试和验证,为用户提供了改进的体验,并为进一步开发提供了反馈和建议。该应用程序还在游轮上进行了演示,向相关利益相关者展示了支持的功能,这些利益相关者认识到该应用程序的附加值,并提出了未来潜在的开发领域。结论MR培训应用程序已被评估为在提供一个用户友好的培训环境方面非常有前景,可以支持船员LSA救生艇的操作和维护,但它仍有待改进和进一步扩展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Training on LSA lifeboat operation using Mixed Reality

Background

This work aims to provide an overview of the Mixed Reality (MR) technology’s use in maritime industry for training purposes. Current training procedures cover a broad range of procedural operations for Life-Saving Appliances (LSA) lifeboats; however, several gaps and limitations have been identified related to the practical training that can be addressed through the use of MR. Augmented, Virtual and Mixed Reality applications are already used in various fields in maritime industry, but its full potential has not been yet exploited. SafePASS project aims to exploit MR advantages in the maritime training by introducing a relevant application focusing on use and maintenance of LSA lifeboats.

Methods

An MR Training application is proposed supporting the training of crew members in equipment usage and operation, as well as in maintenance activities and procedures. The application consists of the training tool that trains crew members on handling lifeboats, the training evaluation tool that allows trainers to assess the performance of trainees and the maintenance tool that supports crew members to perform maintenance activities and procedures on lifeboats. For each tool, an indicative session and scenario workflow are implemented, along with the main supported interactions of the trainee with the equipment.

Results

The application has been tested and validated both in lab environment and using a real LSA lifeboat, resulting to improved experience for the users that provided feedback and recommendations for further development. The application has also been demonstrated onboard a cruise ship, showcasing the supported functionalities to relevant stakeholders that recognized the added value of the application and suggested potential future exploitation areas.

Conclusions

The MR Training application has been evaluated as very promising in providing a user-friendly training environment that can support crew members LSA lifeboat operation and maintenance, while it is still subject to improvement and further expansion.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Virtual Reality  Intelligent Hardware
Virtual Reality Intelligent Hardware Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
6.40
自引率
0.00%
发文量
35
审稿时长
12 weeks
期刊最新文献
Co-salient object detection with iterative purification and predictive optimization CURDIS: A template for incremental curve discretization algorithms and its application to conics Mesh representation matters: investigating the influence of different mesh features on perceptual and spatial fidelity of deep 3D morphable models Music-stylized hierarchical dance synthesis with user control Pre-training transformer with dual-branch context content module for table detection in document images
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1