Published Paper Details:

This research project aims to investigate the intricate relationship between facial expressions and music preferences. Music has a profound impact on human emotions and behavior, often evoking a wide range of feelings such as happiness, sadness, excitement, and relaxation. Similarly, facial expressions serve as a primary means of nonverbal communication, reflecting one's emotional state and reactions to external stimuli. By examining how facial expressions correlate with individuals' preferences for different genres, styles, and specific pieces of music, this study seeks to uncover underlying patterns and mechanisms governing the emotional response to music. The methodology involves collecting data through surveys and experimental sessions where participants listen to various musical pieces while their facial expressions are recorded using facial recognition technology. Participants will be asked to rate their emotional response to each piece of music, providing insights into their subjective preferences. Additionally, demographic information such as age, gender, cultural background, and musical background will be gathered to explore potential correlations with music preferences and facial expressions. The findings of this research could have implications for various domains including psychology, neuroscience, marketing, and entertainment. Understanding how facial expressions and music preferences interact can inform the design of personalized music recommendations, therapeutic interventions for mood disorders, and the creation of more emotionally engaging multimedia content.