人类对来自无人飞机系统在环境声学环境中的声音的感知和反应
Michael J B Lotinga1, Marc C Green1, Antonio J Torija1
1Acoustics Research Centre, University of Salford, Salford, Greater Manchester UK.
概括
了解来自无人飞机系统 (UAS) 的噪音至关重要. 这项研究发现,无人机系统的噪音烦和可通知性取决于飞机类型,操作,声音和环境.
科学领域:
- 声学 声学 在声学上.
- 精神声学是一种精神声学.
- 人类因素工程 人类因素工程
背景情况:
- 无人驾驶飞机系统 (UAS) 给社会带来了好处,但也带来了噪音问题.
- 了解公众对UAS声音的看法对于整合至关重要.
- 需要进行精神声学研究来评估UAS噪音影响.
研究的目的:
- 为了研究无人飞机系统 (UAS) 声音暴露的精神声学.
- 确定影响UAS可通知性和噪声干扰的因素.
- 评估语境听觉和音景因素在UAS噪音感知中的作用.
主要方法:
- 进行了一项实验室倾听实验.
- 空间染的UAS声音被嵌入到城市声学环境中.
- 无人机在设计,操作模式和飞行数量方面各不相同.
主要成果:
- 噪音烦受无人机类型,操作模式,声音特征,飞行数量和环境声学环境的影响.
- 对先进的空中移动和居住区分类的个人态度与烦相关.
- 无人机系统类型,操作模式,噪音和周围环境影响了可通报性.
结论:
- 无人机噪声感知是复杂的,受多种声学和上下文因素的影响.
- 除了声音特征之外的因素,例如个人态度,会影响烦.
- 了解这些因素是减轻无人机系统对社会噪音影响的关键.
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