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Annoyance

About: Annoyance is a research topic. Over the lifetime, 2015 publications have been published within this topic receiving 38300 citations. The topic is also known as: annoy.


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Journal ArticleDOI
TL;DR: In this article, the authors compared frequency weightings with respect to their ability to predict annoyance reactions in low frequency working environments and found that dB(A)-level did not give the best prediction of annoyance.
Abstract: Estimation as well as control and elimination rely almost exclusively on the Aweighting procedure. At the same time a variety of studies have shown that the Aweighting could be in quest6ion when assessing annoyance (Kjellberg and Goldstein, 1985;Hellman and Zwicker, 1987) and specially in low frequency environments (Tempest, 1973; Bryan, 1976; Broner, 1979; Broner and Leventhall 1982, 1983). Many studies have indicated that tonal components can increase the perceived annoyance of noise. Various tone-correction procedures have therefore been proposed (FAR 36,1969; Kryter and Pearsons, 1965; Pearsons et al, 1969). Hellman (1982. 1984, 1986) has shown that the magnitude of the tone correction, depends in acomplex manner on tone-noise configuration. The frequency of the tone. the spectral shape of the noise and the location of the tone within the spectrum are factors that are discussed. As an example in the FAR 36 tone-correction procedure. tones situated between 500 5000 Hz are given higher correction values than tones under 500 Hz and over 5000 Hz. respectively. Annoyance reactions differ due to the sound pressure levels of the tone and ofthe overall tone-noise complex. Tone-to-noise ratios under or over a 15 dB level are shown to give different effects. Hellman (1985) has also shown that annoyance reactions depend on whether there is one or more than one tone present in the noise spectrum. In Landstrom et a!. (1988), a field study of noise and annoyance was described. In this study commonly employed frequency weightings were compared with respect to their ability to predict annoyance reactions. The working environments included in the study represented low. middle and high frequency exposures. The study was mainly directed at the methods of measuring noise and annoyance in occupational settings. hut some preliminary results were also presented. These results. in accordance with earlier findings, indicated that dB(A) levels did not give the best prediction of annoyance. In the present paper, 84 comhi ned measurements of noise and annoyance in low frequency working environments have been analysed. The dB(A)-. dB(B)-. dB(C)-. dB(D)and dB(lin)-levels were studied as predictors of annoyance. The material was also examined with respect to interacting non-acoustic work-related factors and tonal components in the noise.

11 citations

Journal ArticleDOI
TL;DR: In this paper, a new procedure to calculate the mean subjective ratings has been introduced and more demanding procedures to test the repeatability of the results have been used, and a combination factor varying in a range from 0.24 to 0.31 provided the highest correlation between the new parameter and the subjective sensation of annoyance.

11 citations

Journal ArticleDOI
TL;DR: In this paper , soundscapes around such urban spaces are investigated using Singapore as a case study, and a predictive model is developed based on identified objective indicators and an alternate method to derive the total mask duration of positive sound events.

11 citations

Journal ArticleDOI
TL;DR: In this paper, a Thurstonian scaling technique was applied to the category annoyance data and the results of the noise investigation indicated that paired comparisons may furnish a better procedure than verbal category scaling for data collection in surveys.
Abstract: A recurrent problem in sociological annoyance surveys is to scale the environmental variables quantitatively as they are perceived. Data from two surveys on malodors and noise are discussed within a framework of scaling theory. A Thurstonian scaling technique was applied to the category annoyance data. In the investigation of malodors a rather stable picture of the results of the annoyance reports was obtained independently of the assumptions made in data treatment. On the other hand, the results of the noise investigation indicate that paired comparisons may furnish a better procedure than verbal category scaling for data collection in surveys. Scales of annoyance from different populations will give different units of measurement, and annoyance scales cannot be compared adequately unless the scales are calibrated. A possible calibration procedure is to introduce a defined psychological unit of measurement into the data. Language: en

11 citations

Journal ArticleDOI
TL;DR: In this paper, the authors analyzed airport noise exposure around Viracopos International Airport by quantifying the proportion of highly annoyed people in surrounding zones using simulations, integrated noise models and geographic information systems.

11 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023187
2022275
202166
202055
201968
201890