Emotional and musical factors combined with song-specific age predict the subjective autobiographical saliency of music in older adults
Salakka, I., Pitkäniemi, A., Pentikäinen, E., Saari, P., Toiviainen, P., & Särkämö, T. (2023). Emotional and musical factors combined with song-specific age predict the subjective autobiographical saliency of music in older adults. Psychology of Music, Online First. https://doi.org/10.1177/03057356231186961
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Psychology of MusicAuthors
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2023Copyright
© The Author(s) 2023
Music that evokes strong emotional responses is often experienced as autobiographically salient. Through emotional experience, the musical features of songs could also contribute to their subjective autobiographical saliency. Songs which have been popular during adolescence or young adulthood (ages 10–30) are more likely to evoke stronger memories, a phenomenon known as a reminiscence bump. In the present study, we sought to determine how song-specific age, emotional responsiveness to music, musical features, and subjective memory functioning contribute to the subjective autobiographical saliency of music in older adults. In a music listening study, 112 participants rated excerpts of popular songs from the 1950s to the 1980s for autobiographical saliency. Additionally, they filled out questionnaires about emotional responsiveness to music and subjective memory functioning. The song excerpts’ musical features were extracted computationally using MIRtoolbox. Results showed that autobiographical saliency was best predicted by song-specific age and emotional responsiveness to music and musical features. Newer songs that were more similar in rhythm to older songs were also rated higher in autobiographical saliency. Overall, this study contributes to autobiographical memory research by uncovering a set of factors affecting the subjective autobiographical saliency of music.
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https://converis.jyu.fi/converis/portal/detail/Publication/193511417
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Research Council of FinlandFunding program(s)
Centre of Excellence, AoFAdditional information about funding
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Academy of Finland (grants 299044, 305264, 306625, 327996, and 1346211) and the European Research Council (ERC-StG grant 803466).License
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