A taxonomy of sound sources in restaurants

Lindborg, PerMagnus

doi:10.1016/j.apacoust.2016.03.032

Cited by 33 publications

(27 citation statements)

References 27 publications

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“…See also Table 2. The weak or even contradictory results within certain restaurant types might be due to the influence of other soundscape factors, such as the kinds of sound sources that are prevalent in an environment rather than their loudness [53]. Certain sounds might cue expectations in listeners that cause them to adapt their internalised affective responses.…”

Section: Regression Analysismentioning

confidence: 99%

Personality Traits Bias the Perceived Quality of Sonic Environments

Lindborg

Friberg

2016

Applied Sciences

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Abstract:There have been few empirical investigations of how individual differences influence the perception of the sonic environment. The present study included the Big Five traits and noise sensitivity as personality factors in two listening experiments (n = 43, n = 45). Recordings of urban and restaurant soundscapes that had been selected based on their type were rated for Pleasantness and Eventfulness using the Swedish Soundscape Quality Protocol. Multivariate multiple regression analysis showed that ratings depended on the type and loudness of both kinds of sonic environments and that the personality factors made a small yet significant contribution. Univariate models explained 48% (cross-validated adjusted R 2 ) of the variation in Pleasantness ratings of urban soundscapes, and 35% of Eventfulness. For restaurant soundscapes the percentages explained were 22% and 21%, respectively. Emotional stability and noise sensitivity were notable predictors whose contribution to explaining the variation in quality ratings was between one-tenth and nearly half of the soundscape indicators, as measured by squared semipartial correlation. Further analysis revealed that 36% of noise sensitivity could be predicted by broad personality dimensions, replicating previous research. Our study lends empirical support to the hypothesis that personality traits have a significant though comparatively small influence on the perceived quality of sonic environments.

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Section: Regression Analysismentioning

confidence: 99%

Personality Traits Bias the Perceived Quality of Sonic Environments

Lindborg

Friberg

2016

Applied Sciences

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“…Similarly, much can be done on inhabitant participatory on measuring noise levels [7] in restaurants [45,46], food courts [47] to increase population and businesses awareness. This could help business reduce noise levels in their environments.…”

Section: Resultsmentioning

confidence: 99%

“…This could help business reduce noise levels in their environments. For example, in indoor environments, much can be done by the designers to carefully consider acoustic details of the interior by shaping sound sources to be positively perceived with attention to vocal comfort, ambient levels [46] in public spaces. Designers could also update the needs of people to acoustic indoor environment using public spaces because needs of people for acoustic requirements of space could be higher for their key activity e.g.…”

Section: Resultsmentioning

confidence: 99%

Findings from measurements of noise levels in indoor and outdoor environments in an expanding urban area: a case of Tirana

Laze

2017

Noise Mapping

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Abstract:The increasing human population and the increasing number of vehicles in Tirana, Albania, emerges the need for extensive measurements of noise levels. The 831 measurements of noise levels were taken in Tirana in November 2015 for education purposes. Measurements were collected in eight locations in indoor like a classroom in a school building environment, a library and a healthcare facility and in outdoor environments like five crossroads. Noise levels were then compared with domestic and World Health Organization (WHO) standards. The logarithmic average of noise levels and the maximum value of noise level measured for the period of measurement (LAFmax) were interpolated using Interpolated Noise Levels for Observer Points in ArcGIS producing noise level maps for crossroads. The logarithmic average of noise levels and LAFmax measurements were respectively above domestic and WHO standards in 96% and 100% of outdoor environment and indoor environment locations. Interpolated values of logarithmic average of noise levels and LAFmax for five crossroads were above domestic and WHO standards indicating noise levels in road traffic could remain high. A yearly acoustic measurement for vehicles should be implemented. Participatory measurements of noise levels in quite indoor environments can be used to increase the awareness of inhabitants in Tirana.

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“…In every restaurant, after each measurement of crowd density 10-15 tables were randomly chosen and the diners were asked to sit for an interview. These interviewees were asked to describe the 1-3 most salient sounds [32] that they had heard and to categorize them as speech, background music (if there was any), or other sounds [51,52]; then, the frequency of different sounds was calculated and divided by the total frequency of all sounds to get proportions for each.…”

Section: Conversation Behaviour Measurementmentioning

confidence: 99%

“…Based on the analysis of relevant studies [31][32][33][34], this study divides dining styles into three categories: centralised, separate, and dispersed, as shown in Fig.1. The centralised style refers to diners sharing a dish, such as a hot pot; the separate style means that diners do not share dishes with others but eat their own food; while in the dispersed style, diners share many dishes, which is common in family gatherings (see Fig.…”

Section: Introductionmentioning

confidence: 99%