Understanding Our Appreciation of Music
Duc Tran
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To promote music streaming, Norway’s #1 mobile telecom service provider, Telia engaged Dimitrios Adamos from Aristotle University in Thessaloniki to perform a scientific music-EEG experiment using the EMOTIV EPOC+ to record EEG from 3 famous Norwegian artists while they are listening to songs of various music genres.
The recorded EEG data were analyzed using an algorithm Dimitrios and his team developed to detect whether someone liked the music they were listening to.
The algorithm is based on a single, discernible electrical pattern that corresponds to a specific human aesthetic experience: our appreciation of music
To the surprise of the artists, there were some results that were more unexpected than others. Many of the songs the artists enjoyed differed from their expected choices, illustrating both the limitations of self-reporting scales and the artists’ broader appreciation for music.
To document the experience, a short film was directed by Christian Holm-Glad, with English subtitles included.
To promote music streaming, Norway’s #1 mobile telecom service provider, Telia engaged Dimitrios Adamos from Aristotle University in Thessaloniki to perform a scientific music-EEG experiment using the EMOTIV EPOC+ to record EEG from 3 famous Norwegian artists while they are listening to songs of various music genres.
The recorded EEG data were analyzed using an algorithm Dimitrios and his team developed to detect whether someone liked the music they were listening to.
The algorithm is based on a single, discernible electrical pattern that corresponds to a specific human aesthetic experience: our appreciation of music
To the surprise of the artists, there were some results that were more unexpected than others. Many of the songs the artists enjoyed differed from their expected choices, illustrating both the limitations of self-reporting scales and the artists’ broader appreciation for music.
To document the experience, a short film was directed by Christian Holm-Glad, with English subtitles included.
To promote music streaming, Norway’s #1 mobile telecom service provider, Telia engaged Dimitrios Adamos from Aristotle University in Thessaloniki to perform a scientific music-EEG experiment using the EMOTIV EPOC+ to record EEG from 3 famous Norwegian artists while they are listening to songs of various music genres.
The recorded EEG data were analyzed using an algorithm Dimitrios and his team developed to detect whether someone liked the music they were listening to.
The algorithm is based on a single, discernible electrical pattern that corresponds to a specific human aesthetic experience: our appreciation of music
To the surprise of the artists, there were some results that were more unexpected than others. Many of the songs the artists enjoyed differed from their expected choices, illustrating both the limitations of self-reporting scales and the artists’ broader appreciation for music.
To document the experience, a short film was directed by Christian Holm-Glad, with English subtitles included.
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© 2026 EMOTIV, All rights reserved.
Your Privacy Choices (Cookie Settings)
*Disclaimer – EMOTIV products are intended to be used for research applications and personal use only. Our products are not sold as Medical Devices as defined in EU directive 93/42/EEC. Our products are not designed or intended to be used for diagnosis or treatment of disease.
Note on Translations: Non-English versions of this website has been translated for your convenience using artificial intelligence. While we strive for accuracy, automated translations may contain errors or nuances that differ from the original text. For the most accurate information, please refer to the English version of this site.
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Support
Company
© 2026 EMOTIV, All rights reserved.
Your Privacy Choices (Cookie Settings)
*Disclaimer – EMOTIV products are intended to be used for research applications and personal use only. Our products are not sold as Medical Devices as defined in EU directive 93/42/EEC. Our products are not designed or intended to be used for diagnosis or treatment of disease.
Note on Translations: Non-English versions of this website has been translated for your convenience using artificial intelligence. While we strive for accuracy, automated translations may contain errors or nuances that differ from the original text. For the most accurate information, please refer to the English version of this site.