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

Roman Bolton, Sophie Hallam, Alex Smith, Jade Melendez, Craig Allison, Katie Plant
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引用次数: 0

摘要

潜艇使用大量对水面监视至关重要的传感器。例如,光电桅杆利用传感器收集周围环境的光学数据。而雷达电子支持措施(RESM)桅杆提供电磁监视,重点是避免反探测。但矛盾的是,每次竖起桅杆,反侦查的风险就会增加。为了减少暴露时间,潜艇桅杆集成了多个传感器;如光电子和RESM,同时收集数据。传统上,不同的操作员完成光电和RESM任务。然而,集成光电子和RESM桅杆可能需要集成运营商的角色。因此,优化人机界面将使操作员的性能达到最佳。一个建议是在单一用户界面上同时呈现光电子和RESM数据,并使用更多新兴技术探索呈现这些信息的不同方式。因此,本研究的目的是研究与仅显示光电子数据的接口相比,支持光电子和RESM数据的接口如何影响操作员的性能。该研究还将探讨使用当前和新颖的显示方法,特别是计算机显示器和虚拟现实(VR)来呈现这些信息的效果。为了验证这一点,设计了四个实验条件:(1)没有使用常规显示器的额外数据,(2)使用常规显示器的额外RESM数据,(3)使用VR显示器的额外数据,以及(4)使用VR显示器的额外RESM数据。为了评估操作员的表现,参与者将在每种情况下完成模拟,并收集有关任务准确性、任务完成时间、操作员工作量、态势感知和系统可用性的数据。将详细介绍研究结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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