AI and Unconscious Brain Activity: Identifying Hit Songs with Remarkable Precision

Scientists have developed a method to predict hit songs with high accuracy by measuring people's brain activity while listening to music and analyzing the data using artificial intelligence. The study found that neurophysiologic measures, specifically measures of immersion and retreat during music listening, can accurately identify hit songs. Machine learning techniques further improved the accuracy of predicting hit songs to nearly 100%. The researchers discovered that self-reported measures of liking a song were not predictive of its success. This study highlights the potential of using neurophysiologic responses and AI to forecast market outcomes in the music industry.