Roman Bolton, Sophie Hallam, Alex Smith, Jade Melendez, Craig Allison, Katie Plant
{"title":"在完成潜艇控制室任务时,综合用户界面和虚拟现实如何影响操作员性能的研究","authors":"Roman Bolton, Sophie Hallam, Alex Smith, Jade Melendez, Craig Allison, Katie Plant","doi":"10.54941/ahfe1004264","DOIUrl":null,"url":null,"abstract":"Submarines use a plethora of sensors crucial for above-water surveillance. For example, the optronics mast utilises sensors that collect optical data on the surrounding environment. Whereas the Radar Electronic Support Measures (RESM) mast provides electromagnetic surveillance that focuses on avoiding counter-detection. Paradoxically though, every time the mast is up it increases the risk of counter-detection. To reduce exposure time, submarine masts are integrating multiple sensors; like optronics and RESM, to collect data simultaneously. Traditionally, different operators complete optronics and RESM tasks. However, an integrated optronics and RESM mast, would likely require an integrated operator role. Therefore, optimising the Human-Machine Interface would enable optimal operator performance. One suggestion is to present both optronics and RESM data on a single user interface and explore different ways of presenting this information, using more emerging technologies. Therefore, the aim of this study is to investigate how an interface, which supports the presentation of both optronics and RESM data, affects operator performance compared to an interface that presents optronics data only. The study will also explore the effects of presenting such information using current and novel display methods, specifically computer monitors and virtual reality (VR). To test this, four experimental conditions were devised: (1) no additional data using a conventional display, (2) additional RESM data using a conventional display, (3) no additional data using a VR display, and (4) additional RESM data using a VR display. To assess operator performance, participants will complete simulations in each condition, and data will be collected on task accuracy, task completion time, operator workload, situation awareness, and system usability. A detailed account of the research findings will be presented.","PeriodicalId":470195,"journal":{"name":"AHFE international","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An investigation into how an integrated user interface and virtual reality affects operator performance when completing submarine control room tasks\",\"authors\":\"Roman Bolton, Sophie Hallam, Alex Smith, Jade Melendez, Craig Allison, Katie Plant\",\"doi\":\"10.54941/ahfe1004264\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Submarines use a plethora of sensors crucial for above-water surveillance. For example, the optronics mast utilises sensors that collect optical data on the surrounding environment. Whereas the Radar Electronic Support Measures (RESM) mast provides electromagnetic surveillance that focuses on avoiding counter-detection. Paradoxically though, every time the mast is up it increases the risk of counter-detection. To reduce exposure time, submarine masts are integrating multiple sensors; like optronics and RESM, to collect data simultaneously. Traditionally, different operators complete optronics and RESM tasks. However, an integrated optronics and RESM mast, would likely require an integrated operator role. Therefore, optimising the Human-Machine Interface would enable optimal operator performance. One suggestion is to present both optronics and RESM data on a single user interface and explore different ways of presenting this information, using more emerging technologies. Therefore, the aim of this study is to investigate how an interface, which supports the presentation of both optronics and RESM data, affects operator performance compared to an interface that presents optronics data only. The study will also explore the effects of presenting such information using current and novel display methods, specifically computer monitors and virtual reality (VR). To test this, four experimental conditions were devised: (1) no additional data using a conventional display, (2) additional RESM data using a conventional display, (3) no additional data using a VR display, and (4) additional RESM data using a VR display. To assess operator performance, participants will complete simulations in each condition, and data will be collected on task accuracy, task completion time, operator workload, situation awareness, and system usability. 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An investigation into how an integrated user interface and virtual reality affects operator performance when completing submarine control room tasks
Submarines use a plethora of sensors crucial for above-water surveillance. For example, the optronics mast utilises sensors that collect optical data on the surrounding environment. Whereas the Radar Electronic Support Measures (RESM) mast provides electromagnetic surveillance that focuses on avoiding counter-detection. Paradoxically though, every time the mast is up it increases the risk of counter-detection. To reduce exposure time, submarine masts are integrating multiple sensors; like optronics and RESM, to collect data simultaneously. Traditionally, different operators complete optronics and RESM tasks. However, an integrated optronics and RESM mast, would likely require an integrated operator role. Therefore, optimising the Human-Machine Interface would enable optimal operator performance. One suggestion is to present both optronics and RESM data on a single user interface and explore different ways of presenting this information, using more emerging technologies. Therefore, the aim of this study is to investigate how an interface, which supports the presentation of both optronics and RESM data, affects operator performance compared to an interface that presents optronics data only. The study will also explore the effects of presenting such information using current and novel display methods, specifically computer monitors and virtual reality (VR). To test this, four experimental conditions were devised: (1) no additional data using a conventional display, (2) additional RESM data using a conventional display, (3) no additional data using a VR display, and (4) additional RESM data using a VR display. To assess operator performance, participants will complete simulations in each condition, and data will be collected on task accuracy, task completion time, operator workload, situation awareness, and system usability. A detailed account of the research findings will be presented.