The many faces of music: Attending to music and delight in the same music are governed by different rules of processing.


Journal

Acta psychologica
ISSN: 1873-6297
Titre abrégé: Acta Psychol (Amst)
Pays: Netherlands
ID NLM: 0370366

Informations de publication

Date de publication:
Sep 2019
Historique:
received: 17 05 2019
revised: 25 08 2019
accepted: 18 10 2019
pubmed: 2 11 2019
medline: 11 2 2020
entrez: 2 11 2019
Statut: ppublish

Résumé

Music generates manifold experiences in humans, some perceptual and some hedonic. Are these qualia governed by the same principles in processing? In particular, do the loudness and timbre of melodies combine to produce perception and likeability by the same rules of integration? In Experiment 1, we tested selective attention to loudness and timbre by applying Garner's speeded classification paradigm and found both to be perceptually integral dimensions. In Experiment 2, we tested liking for the same music by applying Norman Anderson's functional measurement model and found loudness and timbre to combine by an adding-type rule. In Experiment 3, we applied functional measurement for perception and found loudness and timbre to interact as in Experiment 1. These results show that people cannot or do not attend selectively or perceive separately any one music component, but that they nonetheless can isolate the components when they enjoy (or disenjoy) listening to music. We conclude that perception of the constituent components of a musical piece and the processing of the same components for liking are governed by different rules.

Identifiants

pubmed: 31675619
pii: S0001-6918(19)30198-2
doi: 10.1016/j.actpsy.2019.102949
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

102949

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Merav Ben-Nathan (M)

Deparment of Education, Western Galilee College, Israel. Electronic address: Meravb@Wgalil.ac.il.

Moti Salti (M)

Ben-Gurion University, Israel.

Daniel Algom (D)

Tel-Aviv University, Israel.

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Classifications MeSH