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Algorithmic music for therapy

2021-10-01Artigo científico Acesso aberto
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dc.contributor.authorRaglio, Alfredo
dc.contributor.authorBaiardi, Paola
dc.contributor.authorVizzari, Giuseppe
dc.contributor.authorImbriani, Marcello
dc.contributor.authorCastelli, Mauro
dc.contributor.authorManzoni, Sara
dc.contributor.authorVico, Francisco
dc.contributor.authorManzoni, Luca
dc.contributor.institutionInformation Management Research Center (MagIC) - NOVA Information Management School
dc.contributor.institutionNOVA Information Management School (NOVA IMS)
dc.contributor.pblMDPI - Multidisciplinary Digital Publishing Institute
dc.date.accessioned2021-09-21T02:08:00Z
dc.date.available2021-09-21T02:08:00Z
dc.date.issued2021-10-01
dc.descriptionRaglio, A., Baiardi, P., Vizzari, G., Imbriani, M., Castelli, M., Manzoni, S., Vico, F., & Manzoni, L. (2021). Algorithmic music for therapy: Effectiveness and perspectives. Applied Sciences (Switzerland), 11(19), 1-13. [8833]. https://doi.org/10.3390/app11198833 --------------------------------------------------------------Funding Information: Acknowledgments: This work was partially supported by FCT, Portugal, through funding of the project GADgET (DSAIPA/DS/0022/2018), and the financial support from the Slovenian Research Agency (research core funding no. P5-0410). Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
dc.description.abstractThis study assessed the short-term effects of conventional (i.e., human-composed) and algorithmic music on the relaxation level. It also investigated whether algorithmic compositions are perceived as music and are distinguishable from human-composed music. Three hundred twenty healthy volunteers were recruited and randomly allocated to two groups where they listened to either their preferred music or algorithmic music. Another 179 healthy subjects were allocated to four listening groups that respectively listened to: music composed and performed by a human, music composed by a human and performed by a machine; music composed by a machine and performed by a human, music composed and performed by a machine. In the first experiment, participants underwent one of the two music listening conditions—preferred or algorithmic music— in a comfortable state. In the second one, participants were asked to evaluate, through an online questionnaire, the musical excerpts they listened to. The Visual Analogue Scale was used to evaluate their relaxation levels before and after the music listening experience. Other outcomes were evaluated through the responses to the questionnaire. The relaxation level obtained with the music created by the algorithms is comparable to the one achieved with preferred music. Statistical analysis shows that the relaxation level is not affected by the composer, the performer, or the existence of musical training. On the other hand, the perceived effect is related to the performer. Finally, music composed by an algorithm and performed by a human is not distinguishable from that composed by a human.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent13
dc.format.extent328200
dc.identifier.doi10.3390/app11198833
dc.identifier.issn2076-3417
dc.identifier.otherPURE: 33835949
dc.identifier.otherPURE UUID: 50fdc6e0-8ebd-4bfb-8850-b2a9cad0db92
dc.identifier.otherScopus: 85115773107
dc.identifier.otherORCID: /0000-0002-8793-1451/work/100976979
dc.identifier.otherWOS: 000725604100001
dc.identifier.urihttp://hdl.handle.net/10362/124896
dc.identifier.urlhttps://www.scopus.com/pages/publications/85115773107
dc.identifier.urlhttps://www.webofscience.com/wos/woscc/full-record/WOS:000725604100001
dc.language.isoeng
dc.peerreviewedyes
dc.relationinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/DSAIPA%2FDS%2F0022%2F2018/PT
dc.subjectAlgorithmic music
dc.subjectHuman/machine composition
dc.subjectMelomics-Health
dc.subjectRelaxation
dc.subjectTherapeutic music listening
dc.subjectGeneral Materials Science
dc.subjectInstrumentation
dc.subjectGeneral Engineering
dc.subjectProcess Chemistry and Technology
dc.subjectComputer Science Applications
dc.subjectFluid Flow and Transfer Processes
dc.titleAlgorithmic music for therapyen
dc.title.subtitleEffectiveness and perspectivesen
dc.typejournal article
degois.publication.firstPage1
degois.publication.issue19
degois.publication.lastPage13
degois.publication.titleApplied Sciences
degois.publication.volume11
dspace.entity.typePublication
oaire.awardNumberDSAIPA/DS/0022/2018
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/DSAIPA%2FDS%2F0022%2F2018/PT
oaire.fundingStream3599-PPCDT
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccess
relation.isProjectOfPublicationc35c919f-29eb-4019-b809-622c143b6c56
relation.isProjectOfPublication.latestForDiscoveryc35c919f-29eb-4019-b809-622c143b6c56

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