Segmentation of subjects in multivariate paired comparisons. Application to the preference for concert halls acoustics

•Concert halls acoustics were evaluated in paired comparison for 6 contexts.•A latent class segmentation of subjects is developed in a multivariate framework.•A two latent classes solution highlights differences in the acoustic perceptions.•A latent class approach with BTL model allows to segment su...

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Published inFood quality and preference Vol. 62; pp. 120 - 127
Main Authors Séménou, M., Courcoux, Ph, Kuusinen, A., Lokki, T.
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.12.2017
Elsevier
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Abstract •Concert halls acoustics were evaluated in paired comparison for 6 contexts.•A latent class segmentation of subjects is developed in a multivariate framework.•A two latent classes solution highlights differences in the acoustic perceptions.•A latent class approach with BTL model allows to segment subjects in a multivariate framework. Multivariate paired comparisons allow one to compare stimuli by pairs on more than one situation (different contexts, several types of preferences or various sensory attributes). This paper focuses on the segmentation of the subjects after such a task. An adaptation of the latent class segmentation, based on the Bradley-Terry-Luce model, to the multivariate nature of the data is developed, allowing the study of the dependencies between attributes. This technique is applied to a comparison between concert halls’ acoustics. The influence of context (type of music and position of the seat in the hall) on the preference for the concert halls is presented.
AbstractList Multivariate paired comparisons allow one to compare stimuli by pairs on more than one situation (different contexts, several types of preferences or various sensory attributes). This paper focuses on the segmentation of the subjects after such a task. An adaptation of the latent class segmentation, based on the Bradley-Terry-Luce model, to the multivariate nature of the data is developed, allowing the study of the dependencies between attributes. This technique is applied to a comparison between concert halls’ acoustics. The influence of context (type of music and position of the seat in the hall) on the preference for the concert halls is presented.
•Concert halls acoustics were evaluated in paired comparison for 6 contexts.•A latent class segmentation of subjects is developed in a multivariate framework.•A two latent classes solution highlights differences in the acoustic perceptions.•A latent class approach with BTL model allows to segment subjects in a multivariate framework. Multivariate paired comparisons allow one to compare stimuli by pairs on more than one situation (different contexts, several types of preferences or various sensory attributes). This paper focuses on the segmentation of the subjects after such a task. An adaptation of the latent class segmentation, based on the Bradley-Terry-Luce model, to the multivariate nature of the data is developed, allowing the study of the dependencies between attributes. This technique is applied to a comparison between concert halls’ acoustics. The influence of context (type of music and position of the seat in the hall) on the preference for the concert halls is presented.
Author Séménou, M.
Kuusinen, A.
Courcoux, Ph
Lokki, T.
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Keywords Segmentation
Multivariate paired comparison
Bradley model
Concert halls
Language English
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Snippet •Concert halls acoustics were evaluated in paired comparison for 6 contexts.•A latent class segmentation of subjects is developed in a multivariate...
Multivariate paired comparisons allow one to compare stimuli by pairs on more than one situation (different contexts, several types of preferences or various...
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SubjectTerms Acoustics
Applications
Bradley model
Concert halls
consumer preferences
Engineering Sciences
multivariate analysis
Multivariate paired comparison
music
Segmentation
sensory properties
Statistics
Title Segmentation of subjects in multivariate paired comparisons. Application to the preference for concert halls acoustics
URI https://dx.doi.org/10.1016/j.foodqual.2016.12.011
https://www.proquest.com/docview/2000497349
https://oniris.hal.science/hal-05038005
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