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

Adamos, Dimitrios A., Dimitriadis, Stavros ORCID: https://orcid.org/0000-0002-0000-5392 and Laskaris, Nikolaos A. 2016. Towards the bio-personalization of music recommendation systems: a single-sensor EEG biomarker of subjective music preference. Information Sciences 343-44 , pp. 94-108. 10.1016/j.ins.2016.01.005

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Abstract

Recent advances in biosensors technology and mobile electroencephalographic (EEG) interfaces have opened new application fields for cognitive monitoring. A computable biomarker for the assessment of spontaneous aesthetic brain responses during music listening is introduced here. It derives from well-established measures of cross-frequency coupling (CFC) and quantifies the music-induced alterations in the dynamic relationships between brain rhythms. During a stage of exploratory analysis, and using the signals from a suitably designed experiment, we established the biomarker, which acts on brain activations recorded over the left prefrontal cortex and focuses on the functional coupling between high-β and low-γ oscillations. Based on data from an additional experimental paradigm, we validated the introduced biomarker and showed its relevance for expressing the subjective aesthetic appreciation of a piece of music. Our approach resulted in an affordable tool that can promote human–machine interaction and, by serving as a personalized music annotation strategy, can be potentially integrated into modern flexible music recommendation systems.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Psychology
Publisher:	Elsevier
ISSN:	0020-0255
Date of Acceptance:	1 January 2016
Last Modified:	03 Nov 2022 10:12
URI:	https://orca.cardiff.ac.uk/id/eprint/107272

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