Impact of cockpit noise on the performance of helicopter pilots against risk information

JiaAo Cheng; Xiaoyan Zhang; HongJun Xue

doi:10.1117/12.2628602

7 March 2022 Impact of cockpit noise on the performance of helicopter pilots against risk information

JiaAo Cheng, Xiaoyan Zhang, HongJun Xue

Proceedings Volume 12167, Third International Conference on Electronics and Communication; Network and Computer Technology (ECNCT 2021); 121670M (2022) https://doi.org/10.1117/12.2628602
Event: 2021 Third International Conference on Electronics and Communication, Network and Computer Technology, 2021, Harbin, China

Abstract

Environmental noise in cockpit can have great influence on the pilots of a helicopter. The pilots can be both mentally and physically influenced, which can weaken the competence of recognition and information processing and cause air accidents. In this paper, to further investigate the impact of environmental noise on cockpit pilot’s performance against risk information during a flight, experiment is designed and implemented in different noise levels and different task difficulty. During experiment the response time and accuracy of subjects are measured and recorded, the noise annoyance of subjects is evaluated by a subjective questionnaire. The experimental data show that with the rising of environmental noise level, the response time increases and the accuracy declines in all task difficulty condition. Also, the noise annoyance of subjects grows sharply in higher noise level. Based on the experimental data and result, it can be concluded that the environmental noise has a remarkable negative impact on the performance of helicopter pilot when performing a task and/or facing risk information.

Citation Download Citation

JiaAo Cheng, Xiaoyan Zhang, and HongJun Xue "Impact of cockpit noise on the performance of helicopter pilots against risk information", Proc. SPIE 12167, Third International Conference on Electronics and Communication; Network and Computer Technology (ECNCT 2021), 121670M (7 March 2022); https://doi.org/10.1117/12.2628602

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KEYWORDS

Safety

Human-machine interfaces

Lamps

Data processing

Interfaces

Interference (communication)

Statistical analysis

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