Revealing Preference in Popular Music Through Familiarity and Brain Response

by   Soravitt Sangnark, et al.

Music preference was reported as a factor, which could elicit innermost music emotion, entailing accurate ground-truth data and music therapy efficiency. This study executes statistical analysis to investigate the distinction of music preference through familiarity scores, response times (response rates), and brain response (EEG). Twenty participants did self-assessment after listening to two types of popular music's chorus section: music without lyrics (Melody) and music with lyrics (Song). We then conduct a music preference classification using a support vector machine (SVM) with the familiarity scores, the response rates, and EEG as the feature vectors. The statistical analysis and SVM's F1-score of EEG are congruent, which is the brain's right side outperformed its left side in classification performance. Finally, these behavioral and brain studies support that preference, familiarity, and response rates can contribute to the music emotion experiment's design to understand music, emotion, and listener. Not only to the music industry, the biomedical, and healthcare industry can also exploit this experiment to collect data from patients to improve the efficiency of healing by music.


page 1

page 2

page 4

page 5

page 6


Can Machines Generate Personalized Music? A Hybrid Favorite-aware Method for User Preference Music Transfer

User preference music transfer (UPMT) is a new problem in music style tr...

BEAMERS: Brain-Engaged, Active Music-based Emotion Regulation System

With the increasing demands of emotion comprehension and regulation in o...

Towards the bio-personalization of music recommendation systems: A single-sensor EEG biomarker of subjective music preference

Recent advances in biosensors technology and mobile electroencephalograp...

Reimagine Procrastination: Music Preference and Health Habits as Factors on Self-Perceived Procrastination of Young People

As the buzzword phenomenon, procrastination holds a continued need for a...

EEGLog: Lifelogging EEG Data When You Listen to Music

Self-tracking has been long discussed, which can monitor daily activitie...

Emotion Classification in Response to Tactile Enhanced Multimedia using Frequency Domain Features of Brain Signals

Tactile enhanced multimedia is generated by synchronizing traditional mu...

Please sign up or login with your details

Forgot password? Click here to reset