自动语音理解雷达标签更新的安全和工作量优势

Q2 Social Sciences
H. Helmke, Matthias Kleinert, Oliver Ohneiser, Nils Ahrenhold, Lucas Klamert, Petr Motlicek
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引用次数: 0

摘要

空中交通管制员(ATCos)量化了自动语音识别和理解(ASRU)对工作量和飞行安全的益处。作为基线程序,空管员通过鼠标手动将所有口头许可输入飞机雷达标签。在我们提出的解决方案中,空管员由 ASRU 提供支持,ASRU 能够自动提供所需的雷达标签更新。空管员只需目测基于 ASRU 的标签更新,并在出现误读时进行更正即可。总体而言,当空管员得到 ASRU 的支持时,手动插入净空(即在雷达标签中选择正确的输入)所需的时间从 14 小时模拟时间中的 12,700 秒减少到 405 秒。考虑到验证 ASRU 输出所需的额外脑力劳动时间,雷达标签更新时间仍可节省三分之一以上。本文还考虑了安全方面的问题,即使用 ASRU 后飞机雷达标签输入错误的频率。与没有 ASRU 支持的情况相比,错误或遗漏输入的情况较少。本文推进了 ASRU 的使用案例,即 ASRU 有可能提高到达航班的空管运行安全和效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Safety and Workload Benefits of Automatic Speech Understanding for Radar Label Updates
Air traffic controllers (ATCos) quantified the benefits of automatic speech recognition and understanding (ASRU) on workload and flight safety. As a baseline procedure, ATCos manually enter all verbal clearances into the aircraft radar labels by mouse. In our proposed solution, ATCos are supported by ASRU, which is capable of delivering the required radar label updates automatically. ATCos need to visually review the ASRU-based label updates and only have to make corrections in case of misinterpretations. Overall, the amount of time required for manually inserting clearances, i.e., by selecting the correct input in the radar labels, was reduced from 12,700 s during 14 hours of simulation time down to 405 s when ATCos were supported by ASRU. Considering the additional time of mental workload for verifying ASRU output, there is still a saving of more than one-third of the time for radar label updates. This paper also considers safety aspects, i.e., how often incorrect inputs into aircraft radar labels occur with ASRU. The number of wrong or missing inputs is less than without ASRU support. This paper advances the use case that ASRU could potentially improve safety and efficiency for ATCo operations for arrivals.
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来源期刊
Journal of Air Transportation
Journal of Air Transportation Social Sciences-Safety Research
CiteScore
2.80
自引率
0.00%
发文量
16
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