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Journal ArticleDOI

Relating human productivity and annoyance to indoor noise criteria systems

16 Apr 2004-Journal of the Acoustical Society of America (Acoustical Society of America)-Vol. 115, Iss: 5, pp 2370-2370

TL;DR: To support the use of any individual criterion, subjective testing was performed under a range of background noise situations and statistically related to the various noise criteria predictors listed above.

AbstractThe goal of this research is to determine a noise criteria system which best relates the effects of background noise to human productivity and annoyance. A number of indoor noise criteria systems are currently used to rate the background noise in built environments, including noise criteria (NC), balanced noise criteria (NCB), room criteria (RC), room criteria Mark II (RC‐Mark II), and others. Many questions still remain about the accuracy of these predictors in assessing human response to background noise under the variety of ambient noise situations encountered. To support the use of any individual criterion, subjective testing was performed under a range of background noise situations and statistically related to the various noise criteria predictors listed above. Subjects completed an annoyance survey and performed typing and proofreading tasks in an acoustically controlled environment under 12 simulated background noise settings. These settings varied across three sound levels and four spectral qualities. Subjective testing methodology and results are presented. [Work supported by INCE and ASHRAE.]

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Journal ArticleDOI
TL;DR: The results show the effect of tonal noise on annoyance and mental performance especially in different levels of task difficulty, and suggest that neural network models have high accuracy and efficiency, and can be used to predict noise annoyance.
Abstract: Rotating components in mechanical systems produce tonal noises and the presence of these tones effect the quality and comfort of occupants leading to annoyance and a decrease in mental performance. The ISO 1996-2 and ANSI S1.13 standards have described metrics to quantify the effects of prominent tones, but more research on how noise attributes effect annoyance and performance, especially in different levels of task difficulty are necessary. This paper investigates relations between noise metrics, annoyance responses and mental performance under different task difficulty levels while exposed to background noise with tonal components. In this study, sixty participants were evaluated on subjective perceived annoyance and varying workloads while exposed to 18 noise signals with three different prominence tones at three frequency tones and two background noise levels while doing three different levels of n-back tasks in a controlled test chamber. Performance parameters were measured by recording the reaction time, the correct rate, and the number of misses. The results indicate an increasing trend for number of misses and reaction times at higher task difficulty levels, but a decrease for correct rate. The study results showed a significant difference for subjective responses except for annoyance and loudness under different levels of task difficulty. The participants were more annoyed with higher background noise levels, lower tone frequencies and increasing tone levels especially under increasing task difficulty. Loudness metrics highly correlate with other noise metrics. Three models for the prediction of perceived annoyance are presented based on the most strongly correlated noise metrics using neural network models. Each of the three models had different input parameters and different network structures. The accuracy and MSE of all three neural network models show it to be appropriate for predicting perceived annoyance. The results show the effect of tonal noise on annoyance and mental performance especially in different levels of task difficulty. The results also suggest that neural network models have high accuracy and efficiency, and can be used to predict noise annoyance. Model 1 is preferred in certain aspects, such as lower input parameters, making it more user-friendly. The best neural network model included both loudness metrics and tonality metrics. It seems that combined metrics have the least importance and are unnecessary in the proposed neural network model.

6 citations

01 Jan 2019
Abstract: Acoustic metamaterials (AM) have emerged as an academic discipline within the last decade. Metamaterials can exhibit high transmission loss at low frequencies despite having low mass per unit area. This paper investigates the possibility of using AMs for increasing the sound insulation of finite single leaf walls (SLW), focusing on the coincidence effect problem. Formulas are derived using a variational technique for the forced sound transmission of finite SLW with a coupled array of two degree of freedom resonators. An analytical model is presented and the effects of the band gap in sound transmission and radiation are analyzed and compared to the single degree of freedom case. Moreover, numerical simulations verify the two degree of freedom model. Finally, some conclusions are drawn regarding the effectiveness of the proposed model, possible applications, and future work.

1 citations


Cites background from "Relating human productivity and ann..."

  • ...In offices, it is essential to keep the noise level at the minimum to enhance employee efficiency [1, 2, 3]....

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01 Feb 2013
Abstract: Durante a avaliação de ruído ocupacional feita no interior da cabine de uma Pá Carregadora e de um Dumper numa pedreira a céu aberto para a produção de agregados para a construção civil, foram detetados alguns padrões de comportamento nas medições efetuadas. Pretende-se com este estudo relacionar a produtividade com os padrões de ruído associados aos ciclos de carga e transporte típicos da indústria extrativa a céu aberto. Será através da análise dos padrões encontrados que se poderão perspetivar estratégias de auxílio à tomada de decisão e melhoria de procedimentos em áreas como a segurança e higiene ocupacionais e a produtividade. A metodologia de recolha de dados de níveis sonoros, seguiu e teve em conta as principais etapas, sugeridas pela legislação e normalização em vigor, acompanhado pela análise do conteúdo do trabalho desenvolvido nos postos de trabalho em análise. Foi feita a identificação pormenorizada das diferentes tarefas dentro de cada período de amostragem, com o apoio de ficha de levantamento de dados/protocolos criadas para o efeito, de modo a também permitir que passassem a ser tratados de uma forma individualizada. Assim a deteção de padrões de propagação de ruído nas diferentes tarefas resulta da análise dos gráficos em cada uma das bandas de frequência de oitavas pré-definidas (63 Hz a 8 KHz). Da análise dos dados provenientes das medições e respetivo tratamento, foi possível relacionar os padrões de ruído encontrados com a produtividade nas operações de carga e transporte levadas a efeito relativamente, pela Pá Carregadora e pelo Dumper.

Cites background from "Relating human productivity and ann..."

  • ...O seu efeito não é imediatamente avaliável, como no caso de outros poluentes, o que faz com que tendo um impacto lento ou retardado na saúde e no sistema auditivo, não lhe é dada a devida importância, sendo por vezes ignorado (1)....

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  • ...A relação da produtividade humana e da exposição ao ruído já foi objeto de estudo em diversas atividades económicas, como por exemplo nos escritórios (1) onde se verificou a necessidade de um aumento do tempo necessário para completar as tarefas, quando há exposição a níveis sonoros mais elevados, apesar de não se notar uma forte correlação no estudo efetuado devido ao tipo de amostragem (trata-se de um estudo piloto com um número pequeno de amostras)....

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Journal ArticleDOI
01 Jan 2012
Abstract: Risk assessment is one of the main pillars of the framework directive and other directives in respect of health and safety. It is also the basis of an effective management of safety and health as it is essential to reduce work-related accidents and occupational diseases. To survey the hazards eventually present in the workplaces the usual procedures are i) gathering information about tasks/activities, employees, equipment, legislation and standards; ii) observation of the tasks and; iii) quantification of respective risks through the most adequate risk assessment among the methodologies available. From this preliminary evaluation of a welding plant and, from the different measurable parameters, noise was considered the most critical. This paper focus not only the usual way of risk assessment for noise but also another approach that may allow us to identify the technique with which a weld is being performed.