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

Petia Sice*, Garry Elvin, Chirine Riachy, Yilun Shang, Suzannah Ogwu, Corinna Zink

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)
47 Downloads (Pure)


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.
Original languageEnglish
Pages (from-to)182307-182319
Number of pages13
JournalIEEE Access
Early online date6 Oct 2020
Publication statusPublished - 15 Oct 2020


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