Building an Individual Portrait of the Dynamics of Music Perception Using Time-Frequency Analysis of Summary Skin Potential

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Abstract

The individual dynamics of the emotional component of the perception of musical melodies was studied. The indicators of emotional status were involuntary reactions of the summary skin potential (SSP) and arbitrary clicks by subjects on the “like” or “dislike” buttons while listening to melodies. The frequency of arbitrary button clicks serves as an indicator of the degree of differentiation (detail) of the conscious perception of various elements of the melody. By digital processing of the SSP, its derivatives were obtained — heart rate, median frequency and the RMS amplitude of the SSP as functions of time, etc. The temporal dynamics of these indicators turned out to be more intense compared to the frequency of pressing, which is explained by the specificity of the interaction between conscious and unconscious levels of perceptions. In connection with the use of several indicators of continuous emotional dynamics, there is a need for their integral representation. An example of such integration is given for two indicators in the form of individual approximating ellipses. In the future, it is planned to use modern computer graphics to solve the problem.

General Information

Keywords: summary skin potential, musical melodies, emotional dynamics, conscious and unconscious reactions, articulation of perception, integral representation

Journal rubric: Psychophysiology

Article type: scientific article

DOI: https://doi.org/10.17759/exppsy.2021140214

For citation: Nazarov A.I. Building an Individual Portrait of the Dynamics of Music Perception Using Time-Frequency Analysis of Summary Skin Potential. Eksperimental'naâ psihologiâ = Experimental Psychology (Russia), 2021. Vol. 14, no. 2, pp. 198–208. DOI: 10.17759/exppsy.2021140214. (In Russ., аbstr. in Engl.)

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Information About the Authors

Anatoly I. Nazarov, PhD in Psychology, Associate Professor, Department of Psychology, FSGN, State University “Dubna”, Dubna, Russia, ORCID: https://orcid.org/0000-0002-5844-0688, e-mail: koval39@inbox.ru

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