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A chill brain-music interface for enhancing music chills with personalized playlists

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Abstract Music chills are pleasurable experiences while listening to music, often accompanied by physical responses, such as goosebumps 1,2 . Enjoying music that induces chills is central to music appreciation, and engages the reward system in the brain 3–5 . However, the specific songs that trigger chills vary with individual preferences 6 , and the neural substrates associated with musical rewards differ among individuals 7–9 , making it challenging to establish a standard method for enhancing music chills. In this study, we developed the Chill Brain-Music Interface (C-BMI), a closed-loop neurofeedback system that uses in-ear electroencephalogram (EEG) for song selection. The C-BMI generates personalized playlists aimed at evoking chills by integrating individual song preferences and neural activity related to music reward processing. Twenty-four participants listened to both self-selected and other-selected songs, reporting higher pleasure levels and experiencing more chills in their self-selected songs. We constructed two LASSO regression models to support the C-BMI. Model 1 predicted pleasure based on the acoustic features of the self-selected songs. Model 2 classified the EEG responses when participants listened to self-selected versus other-selected songs. Model 1 was applied to over 7,000 candidate songs, predicting pleasure scores. We used these predicted scores and acoustic similarity to the self-selected songs to rank songs that were likely to induce pleasure. Using this ranking, four tailored playlists were generated. Two playlists were designed to augment pleasure by selecting top-ranked songs, one of which incorporated real-time pleasure estimates from Model 2 to continuously update Model 1 and refine song rankings. Additionally, two playlists aimed to diminish pleasure, with one updated using Model 2. We found that the pleasure-augmenting playlist with EEG-based updates elicited more chills and higher pleasure levels than pleasure-diminishing playlists. Our results indicate that C-BMI using in-ear EEG data can enhance music-induced chills.
Title: A chill brain-music interface for enhancing music chills with personalized playlists
Description:
Abstract Music chills are pleasurable experiences while listening to music, often accompanied by physical responses, such as goosebumps 1,2 .
Enjoying music that induces chills is central to music appreciation, and engages the reward system in the brain 3–5 .
However, the specific songs that trigger chills vary with individual preferences 6 , and the neural substrates associated with musical rewards differ among individuals 7–9 , making it challenging to establish a standard method for enhancing music chills.
In this study, we developed the Chill Brain-Music Interface (C-BMI), a closed-loop neurofeedback system that uses in-ear electroencephalogram (EEG) for song selection.
The C-BMI generates personalized playlists aimed at evoking chills by integrating individual song preferences and neural activity related to music reward processing.
Twenty-four participants listened to both self-selected and other-selected songs, reporting higher pleasure levels and experiencing more chills in their self-selected songs.
We constructed two LASSO regression models to support the C-BMI.
Model 1 predicted pleasure based on the acoustic features of the self-selected songs.
Model 2 classified the EEG responses when participants listened to self-selected versus other-selected songs.
Model 1 was applied to over 7,000 candidate songs, predicting pleasure scores.
We used these predicted scores and acoustic similarity to the self-selected songs to rank songs that were likely to induce pleasure.
Using this ranking, four tailored playlists were generated.
Two playlists were designed to augment pleasure by selecting top-ranked songs, one of which incorporated real-time pleasure estimates from Model 2 to continuously update Model 1 and refine song rankings.
Additionally, two playlists aimed to diminish pleasure, with one updated using Model 2.
We found that the pleasure-augmenting playlist with EEG-based updates elicited more chills and higher pleasure levels than pleasure-diminishing playlists.
Our results indicate that C-BMI using in-ear EEG data can enhance music-induced chills.

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