Predictive 'hit' music by brain capture
What tells you that a new unknown song will become a hit in the future?
What tells you that a new unknown song will become a hit in the future? According to the latest study by Emory University research group in the Journal of Consumer Psychology, our brains are able to ' predict ' what songs will dominate the music market .
To arrive at the conclusion, the researchers conducted an experiment in 2006 involving 27 people aged 12-17.
The team asked participants to hear about 200 songs they had never known before of anonymous authors and used fMRI brain scanners to record participants' neurological reactions. .
Brain scans can help predict which songs will become future hits.
Then, by analyzing the sales of these songs between 2007 and 2010, the researchers found that the level of brain response is directly proportional to their success in the music market.
In particular, songs that stimulate strong brain activity often have more than 200,000 copies sold. Conversely, if the stimulus is weak or negligible, they usually have a consumption of less than 200,000 copies.
According to the researchers, there are two areas of the brain that receive stimulation of musical sounds. These are the ocular cortex and the ventral striatum (orbitofrontal cortex and ventral striatum). When listening to any song, if the two regions become more ' excited ', the prospects of the song will be higher.
Interestingly, the song's potential to be ' hit ' is not due to the listeners' likes or dislikes. Information obtained from the brain's response results in much more reliable results. Bern explained, when asked how to feel for a song, you often unconsciously give the answer that you think the asker wants to hear.
The results showed that the researchers were able to correctly identify each individual's penchant or preference when using brain scans for fMRI.
In fact, there are many marketing companies that use nerve stimulation (neuromarketing). They try to fully exploit this idea to attract consumers.
Currently, Bern and his colleagues are also applying this technique to understand the formation and evolution of human thoughts and ideas; Will they last long in the brain?
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