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dc.date.accessioned2020-11-13T19:21:36Z
dc.date.available2020-11-13T19:21:36Z
dc.date.created2020-06-16T08:14:02Z
dc.date.issued2019
dc.identifier.citationMartin, Charles Patrick Tørresen, Jim . Data Driven Analysis of Tiny Touchscreen Performance with MicroJam. Computer Music Journal. 2019, 43(4)
dc.identifier.urihttp://hdl.handle.net/10852/81033
dc.description.abstractThe widespread adoption of mobile devices, such as smartphones and tablets, has made touchscreens a common interface for musical performance. While new mobile music instrument have been investigated from design and user experience perspectives, there is little examination of the performers’ musical outputs. In this work, we introduce a constrained touchscreen performance app, MicroJam, designed to enable collaboration between performers, and engage in a data-driven analysis of more than 1600 performances using the app. MicroJam constrains performances to five seconds, and emphasises frequent and casual music making through a social media-inspired interface. Performers collaborate by replying to performances, adding new musical layers that are played back at the same time. Our analysis shows that users tend to focus on the centre and diagonals of the touchscreen area, and tend to swirl or swipe rather than tap. We also observe that while long swipes dominate the visual appearance of performances, the majority of interactions are short with limited expressive possibilities. Our findings enhance our understanding of how users perform in touchscreen apps and could be applied in future app designs for social musical interaction.
dc.languageEN
dc.titleData Driven Analysis of Tiny Touchscreen Performance with MicroJam
dc.typeJournal article
dc.creator.authorMartin, Charles Patrick
dc.creator.authorTørresen, Jim
cristin.unitcode185,15,5,46
cristin.unitnameForskningsgruppe for robotikk og intelligente systemer
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2
dc.identifier.cristin1815642
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Computer Music Journal&rft.volume=43&rft.spage=&rft.date=2019
dc.identifier.jtitleComputer Music Journal
dc.identifier.volume43
dc.identifier.issue4
dc.identifier.doihttps://doi.org/10.1162/comj_a_00536
dc.identifier.urnURN:NBN:no-84108
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn0148-9267
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/81033/1/2019-DataDrivenAnalysisMicroJam.pdf
dc.type.versionAcceptedVersion
dc.relation.projectNFR/262762
dc.relation.projectNFR/240862


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