Dataset Information

What music makes us feel: At least 13 dimensions organize subjective experiences associated with music across different cultures.

ABSTRACT: What is the nature of the feelings evoked by music? We investigated how people represent the subjective experiences associated with Western and Chinese music and the form in which these representational processes are preserved across different cultural groups. US (n = 1,591) and Chinese (n = 1,258) participants listened to 2,168 music samples and reported on the specific feelings (e.g., "angry," "dreamy") or broad affective features (e.g., valence, arousal) that they made individuals feel. Using large-scale statistical tools, we uncovered 13 distinct types of subjective experience associated with music in both cultures. Specific feelings such as "triumphant" were better preserved across the 2 cultures than levels of valence and arousal, contrasting with theoretical claims that valence and arousal are building blocks of subjective experience. This held true even for music selected on the basis of its valence and arousal levels and for traditional Chinese music. Furthermore, the feelings associated with music were found to occupy continuous gradients, contradicting discrete emotion theories. Our findings, visualized within an interactive map (https://www.ocf.berkeley.edu/?acowen/music.html) reveal a complex, high-dimensional space of subjective experience associated with music in multiple cultures. These findings can inform inquiries ranging from the etiology of affective disorders to the neurological basis of emotion.

SUBMITTER: Cowen AS

PROVIDER: S-EPMC6995018 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

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What music makes us feel: At least 13 dimensions organize subjective experiences associated with music across different cultures.

Cowen Alan S AS Fang Xia X Sauter Disa D Keltner Dacher D

Proceedings of the National Academy of Sciences of the United States of America 20200106 4

What is the nature of the feelings evoked by music? We investigated how people represent the subjective experiences associated with Western and Chinese music and the form in which these representational processes are preserved across different cultural groups. US (<i>n</i> = 1,591) and Chinese (<i>n</i> = 1,258) participants listened to 2,168 music samples and reported on the specific feelings (e.g., "angry," "dreamy") or broad affective features (e.g., valence, arousal) that they made individua ...[more]

PMID: 31907316

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Project description:We know little about the psychological experiences of children and young people who have participated in virtual group music-making during the Coronavirus disease (COVID-19) pandemic. Adopting a mixed-methods design, we worked across three music education hubs in the UK, with a total 13 virtual music groups. These included a range of mainstream ensembles, inclusive ensembles targeting young people with special educational needs and/or disabilities, and inclusive music production spaces, targeting young people from lower socio-economic backgrounds. Reported progress in intra- and inter-personal psychological outcomes was investigated using quantitative and qualitative staff session reports, which were collected since before the pandemic (n1 for in-person sessions = 87, n2 for virtual sessions = 68), and surveys distributed to tutors, young people, and their parents during the first and second United Kingdom (UK) national lockdowns (n3 for qualitative responses = 240, n4 for quantitative responses = 96). Satisfaction of three basic psychological needs of self-determination theory and their relation to joint music-making in virtual spaces was also observed in real time by the researchers performing quantitative checklist observations on 16 separate occasions. Findings indicated that virtual music groups represented a meaningful psychological resource for the participating children and young people, especially considering the lack of opportunities offered by their schools and other extra-curricular activities. Through their participation with virtual group music-making activities, young people used music as a tool for self-expression and emotion management, restored lost musical identities and confidence, and preserved treasured social connections. Virtual alternatives to group music-making appear to indirectly nurture the sense of belongingness, mediated by supportive staff behaviors, but their direct connection, which has been widely reported for in-person group music-making experiences, has not been observed in virtual music groups.

Project description:Background and objectivesMusic has a unique capacity to evoke both strong emotions and vivid autobiographical memories. Previous music information retrieval (MIR) studies have shown that the emotional experience of music is influenced by a combination of musical features, including tonal, rhythmic, and loudness features. Here, our aim was to explore the relationship between music-evoked emotions and music-evoked memories and how musical features (derived with MIR) can predict them both.MethodsHealthy older adults (N = 113, age ≥ 60 years) participated in a listening task in which they rated a total of 140 song excerpts comprising folk songs and popular songs from 1950s to 1980s on five domains measuring the emotional (valence, arousal, emotional intensity) and memory (familiarity, autobiographical salience) experience of the songs. A set of 24 musical features were extracted from the songs using computational MIR methods. Principal component analyses were applied to reduce multicollinearity, resulting in six core musical components, which were then used to predict the behavioural ratings in multiple regression analyses.ResultsAll correlations between behavioural ratings were positive and ranged from moderate to very high (r = 0.46-0.92). Emotional intensity showed the highest correlation to both autobiographical salience and familiarity. In the MIR data, three musical components measuring salience of the musical pulse (Pulse strength), relative strength of high harmonics (Brightness), and fluctuation in the frequencies between 200-800 Hz (Low-mid) predicted both music-evoked emotions and memories. Emotional intensity (and valence to a lesser extent) mediated the predictive effect of the musical components on music-evoked memories.ConclusionsThe results suggest that music-evoked emotions are strongly related to music-evoked memories in healthy older adults and that both music-evoked emotions and memories are predicted by the same core musical features.

Dataset Information

What music makes us feel: At least 13 dimensions organize subjective experiences associated with music across different cultures.

Publications

What music makes us feel: At least 13 dimensions organize subjective experiences associated with music across different cultures.

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