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dc.date.accessioned2022-08-23T15:16:06Z
dc.date.available2022-08-23T15:16:06Z
dc.date.created2022-08-17T17:32:45Z
dc.date.issued2022
dc.identifier.citationSwarbrick, Dana Upham, Finn Erdem, Cagri Jensenius, Alexander Refsum Vuoskoski, Jonna Katariina . Measuring Virtual Audiences with The MusicLab App: Proof of Concept. Proceedings of the 19th Sound and Music Computing Conference. 2022 SMC Network
dc.identifier.urihttp://hdl.handle.net/10852/95539
dc.description.abstractWe present a proof of concept by using the mobile application MusicLab to measure motion during a livestreamed concert and examining its relation to musical features. With the MusicLab App, participants’ own smartphones’ inertial measurement unit (IMU) sensors can be leveragedto record their motion and their subjective experiences collected through survey responses. The MusicLab Lockdown Rave was an Algorave (live-coded dance music) livestreamed concert featuring prolific performers Renick Bell and Khoparzi. They livestreamed for an international audience who wore their smartphones with the MusicLabApp while they listened/danced to the performances. From their acceleration, we computed quantity of motion and compared it to musical features that have previously been associated with music-related motion, namely pulse clarity and low and high spectral flux. By encountering challenges and implementing improvements, the MusicLabApp has become a useful tool for researching music related motion.
dc.languageEN
dc.publisherSMC Network
dc.relation.ispartofProceedings of the SMC Conferences
dc.relation.ispartofseriesProceedings of the SMC Conferences
dc.rightsAttribution 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/
dc.titleMeasuring Virtual Audiences with The MusicLab App: Proof of Concept
dc.title.alternativeENEngelskEnglishMeasuring Virtual Audiences with The MusicLab App: Proof of Concept
dc.typeChapter
dc.creator.authorSwarbrick, Dana
dc.creator.authorUpham, Finn
dc.creator.authorErdem, Cagri
dc.creator.authorJensenius, Alexander Refsum
dc.creator.authorVuoskoski, Jonna Katariina
cristin.unitcode185,14,36,95
cristin.unitnameRITMO Musikkvitenskap
cristin.ispublishedtrue
cristin.fulltextoriginal
dc.identifier.cristin2043955
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.btitle=Proceedings of the 19th Sound and Music Computing Conference&rft.spage=&rft.date=2022
dc.identifier.pagecount785
dc.identifier.doihttp://dx.doi.org/10.5281/zenodo.6798290
dc.identifier.urnURN:NBN:no-98070
dc.type.documentBokkapittel
dc.type.peerreviewedPeer reviewed
dc.source.isbn9782958412609
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/95539/1/69.pdf
dc.type.versionPublishedVersion
cristin.btitleProceedings of the 19th Sound and Music Computing Conference


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