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, Margarita Kostovasili, Lazaros Karagiannidis, 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, Margarita Kostovasili, Lazaros Karagiannidis, 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}
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.