Online Screening of X-System Music Playlists Using an Integrative Wellbeing Model Informed by the Theory of Autopoiesis

Sice, Petia, Elvin, Garry, Riachy, Chirine, Shang, Yilun, Ogwu, Suzannah and Zink, Corinna (2020) Online Screening of X-System Music Playlists Using an Integrative Wellbeing Model Informed by the Theory of Autopoiesis. IEEE Access, 8. pp. 182307-182319. ISSN 2169-3536

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Official URL: https://doi.org/10.1109/ACCESS.2020.3029142

Abstract

Research suggests that music has a powerful effect on the human mind and body. This article explores the impact of music as an intervention. For this purpose, the X-System technology is used to curate relaxing and enlivening music playlists designed to positively impact wellbeing and emotional state during the COVID-19 pandemic. A wellbeing model grounded in autopoietic theory of self-organisation in living systems is developed to inform the evaluation of the impact of the intervention and ensure the reliability of the data. More specifically, data quality is enhanced by focusing the participants’ awareness on their immediate embodied experience of physical, emotional and relational wellbeing and sense of pleasure/displeasure prior to and after listening to a preferred playlist. The statistical analysis shows significant positive changes in emotional wellbeing, valence and sense of meaning ( p<0.001 ) with a medium effect size. It also reveals a statistically significant change for physical wellbeing ( p=0.009 ) with a small effect size. With the relaxing playlists leading to decrease in arousal levels and the enlivening playlists to an increase in activation, it is also concluded that appropriately curated playlists may be able to lead the listener to positive relaxation or activation states or indeed to positive mood change that may have health benefits.

Item Type: Article
Uncontrolled Keywords: Activation, autopoiesis, intervention, listening, music, music valence, wellbeing, X-system.
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Elena Carlaw
Date Deposited: 28 Oct 2020 15:19
Last Modified: 28 Oct 2020 15:32
URI: http://nrl.northumbria.ac.uk/id/eprint/44626

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