Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-8870
Authors: Hauck, Pia
Hecht, Heiko
Title: Emotionally congruent music and text increase immersion and appraisal
Online publication date: 30-Mar-2023
Year of first publication: 2023
Language: english
Abstract: Numerous studies indicate that listening to music and reading are processes that interact in multiple ways. However, these interactions have rarely been explored with regard to the role of emotional mood. In this study, we first conducted two pilot experiments to assess the conveyed emotional mood of four classical music pieces and that of four narrative text excerpts. In the main experiment, participants were asked to read the texts while listening to the music and to rate their emotional state in terms of valence, arousal, and dominance. Subsequently, they rated text and music of the multisensory event in terms of the perceived mood, liking, immersion, and music-text fit. We found a mutual carry-over effect of happy and sad moods from music to text and vice versa. Against our expectations, this effect was not mediated by the valence, arousal, or dominance experienced by the subject. Moreover, we revealed a significant interaction between music mood and text mood. Texts were liked better, they were classified as of better quality, and participants felt more immersed in the text if text mood and music mood corresponded. The role of mood congruence when listening to music while reading should not be ignored and deserves further exploration.
DDC: 150 Psychologie
150 Psychology
Institution: Johannes Gutenberg-Universität Mainz
Department: FB 02 Sozialwiss., Medien u. Sport
Place: Mainz
ROR: https://ror.org/023b0x485
DOI: http://doi.org/10.25358/openscience-8870
Version: Published version
Publication type: Zeitschriftenaufsatz
Document type specification: Scientific article
License: CC BY
Information on rights of use: https://creativecommons.org/licenses/by/4.0/
Journal: PLOS ONE
Version of Record (VoR)
Publisher: Public Library of Science
Publisher place: San Francisco
Issue date: 2023
ISSN: 1932-6203
Publisher DOI: 10.1371/journal.pone.0280019
Appears in collections:DFG-491381577-G

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