Empa, Swiss Federal Laboratories for Materials Science and Technology, 8600 Dübendorf, Switzerland.
School of Engineering and Architecture, Lucerne University of Applied Sciences and Arts, 6048 Horw, Switzerland.
Int J Environ Res Public Health. 2022 Apr 2;19(7):4255. doi: 10.3390/ijerph19074255.
Noise annoyance is usually estimated based on time-averaged noise metrics. However, such metrics ignore other potentially important acoustic characteristics, in particular the macro-temporal pattern of sounds as constituted by quiet periods (noise breaks). Little is known to date about its effect on noise annoyance and cognitive performance, e.g., during work. This study investigated how the macro-temporal pattern of road traffic noise affects short-term noise annoyance and cognitive performance in an attention-based task. In two laboratory experiments, participants worked on the Stroop task, in which performance relies predominantly on attentional functions, while being exposed to different road traffic noise scenarios. These were systematically varied in macro-temporal pattern regarding break duration and distribution (regular, irregular), and played back with moderate of 42-45 dB(A). Noise annoyance ratings were collected after each scenario. Annoyance was found to vary with the macro-temporal pattern: It decreased with increasing total duration of quiet periods. Further, shorter but more regular breaks were somewhat less annoying than longer but irregular breaks. Since Stroop task performance did not systematically vary with different noise scenarios, differences in annoyance are not moderated by experiencing worsened performance but can be attributed to differences in the macro-temporal pattern of road traffic noise.
噪声烦恼通常基于时间平均噪声度量来估计。然而,这些指标忽略了其他潜在的重要声学特征,特别是由安静期(噪声间歇)构成的声音的宏观时间模式。目前对于其对噪声烦恼和认知表现的影响知之甚少,例如在工作期间。本研究调查了道路交通噪声的宏观时间模式如何影响基于注意力的任务中的短期噪声烦恼和认知表现。在两项实验室实验中,参与者在斯特鲁普任务中工作,该任务主要依赖于注意力功能,同时暴露于不同的道路交通噪声场景中。这些场景在间歇持续时间和分布(规则、不规则)方面有系统地变化,并以中等强度 42-45dB(A)播放。在每个场景后收集噪声烦恼评级。发现烦恼随宏观时间模式而变化:随着安静期总持续时间的增加而减少。此外,较短但更规则的间歇比较长但不规则的间歇稍微不那么令人烦恼。由于斯特鲁普任务的表现并没有随着不同的噪声场景而系统地变化,因此,烦恼的差异不受表现恶化的影响,而可以归因于道路交通噪声的宏观时间模式的差异。