A taxonomy of sound sources in restaurants

Restaurants are complex environments engaging all our senses. More or less designable sound sources, such as background music, voices, and kitchen noises, influence the overall perception of the soundscape. Previous research suggested typologies of sounds in some environmental contexts, such as urba...

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Main Author: Lindborg, PerMagnus
Other Authors: School of Art, Design and Media
Format: Article
Language:English
Published: 2016
Subjects:
Online Access:https://hdl.handle.net/10356/80332
http://hdl.handle.net/10220/40483
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-803322020-02-26T14:40:56Z A taxonomy of sound sources in restaurants Lindborg, PerMagnus School of Art, Design and Media Soundscape Environment Servicescape Restaurant Clade Perception Multimodal Crossmodal Sound Source Classification Taxonomy Restaurants are complex environments engaging all our senses. More or less designable sound sources, such as background music, voices, and kitchen noises, influence the overall perception of the soundscape. Previous research suggested typologies of sounds in some environmental contexts, such as urban parks and offices, but there is no detailed account that is relevant to restaurants. We collected on-site data in 40 restaurants (n = 393), including perceptual ratings, free-form annotations of characteristic sounds and whether they were liked or not, and free-form descriptive words for the environment as a whole. The annotations were subjected to cladistic analysis, yielding a multi-level taxonomy of perceived sound sources in restaurants (SSR) with good construct validity and external robustness. Further analysis revealed that voice-related characteristic sounds including a ‘people’ specifier were more liked than those without it (d = 0.14 SD), possibly due to an emotional crossmodal association mechanism. Liking of characteristic sounds differed between the first and last annotations that respondents made (d = 0.21 SD), which might be due to an initially positive bias being countered by exposure to a task inducing a mode of critical listening. Comparing the SSR taxonomy with previous classifications, we believe it will prove useful for field research, simulation design, and sound perception theory. Published version 2016-05-04T02:26:36Z 2019-12-06T13:47:22Z 2016-05-04T02:26:36Z 2019-12-06T13:47:22Z 2016 Journal Article Lindborg, P. (2016). A taxonomy of sound sources in restaurants. Applied Acoustics, 110, 297-310. 0003-682X https://hdl.handle.net/10356/80332 http://hdl.handle.net/10220/40483 10.1016/j.apacoust.2016.03.032 en Applied Acoustics © 2016 The Author. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) 14 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Soundscape
Environment
Servicescape
Restaurant
Clade
Perception
Multimodal
Crossmodal
Sound
Source
Classification
Taxonomy
spellingShingle Soundscape
Environment
Servicescape
Restaurant
Clade
Perception
Multimodal
Crossmodal
Sound
Source
Classification
Taxonomy
Lindborg, PerMagnus
A taxonomy of sound sources in restaurants
description Restaurants are complex environments engaging all our senses. More or less designable sound sources, such as background music, voices, and kitchen noises, influence the overall perception of the soundscape. Previous research suggested typologies of sounds in some environmental contexts, such as urban parks and offices, but there is no detailed account that is relevant to restaurants. We collected on-site data in 40 restaurants (n = 393), including perceptual ratings, free-form annotations of characteristic sounds and whether they were liked or not, and free-form descriptive words for the environment as a whole. The annotations were subjected to cladistic analysis, yielding a multi-level taxonomy of perceived sound sources in restaurants (SSR) with good construct validity and external robustness. Further analysis revealed that voice-related characteristic sounds including a ‘people’ specifier were more liked than those without it (d = 0.14 SD), possibly due to an emotional crossmodal association mechanism. Liking of characteristic sounds differed between the first and last annotations that respondents made (d = 0.21 SD), which might be due to an initially positive bias being countered by exposure to a task inducing a mode of critical listening. Comparing the SSR taxonomy with previous classifications, we believe it will prove useful for field research, simulation design, and sound perception theory.
author2 School of Art, Design and Media
author_facet School of Art, Design and Media
Lindborg, PerMagnus
format Article
author Lindborg, PerMagnus
author_sort Lindborg, PerMagnus
title A taxonomy of sound sources in restaurants
title_short A taxonomy of sound sources in restaurants
title_full A taxonomy of sound sources in restaurants
title_fullStr A taxonomy of sound sources in restaurants
title_full_unstemmed A taxonomy of sound sources in restaurants
title_sort taxonomy of sound sources in restaurants
publishDate 2016
url https://hdl.handle.net/10356/80332
http://hdl.handle.net/10220/40483
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