Data-driven analysis of tiny touchscreen performance with MicroJam

dc.contributor.authorMartin, Charles
dc.contributor.authorTorrensen, Jim
dc.date.accessioned2023-08-08T00:19:52Z
dc.date.available2023-08-08T00:19:52Z
dc.date.issued2020
dc.date.updated2022-07-24T08:17:05Z
dc.description.abstractThe widespread adoption of mobile devices, such as smartphones and tablets, has made touchscreens a common interface for musical performance. Although new mobile music instruments have been investigated from design and user experience perspectives, there has been little examination of the performers' musical output. 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 1,600 performances using the app. MicroJam constrains performances to five seconds, and emphasizes 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 center and diagonals of the touchscreen area, and that they tend to swirl or swipe rather than tap. We also observe that, whereas 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.en_AU
dc.description.sponsorshipThis work was partially supported by The Research Council of Norwayen_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn0148-9267en_AU
dc.identifier.urihttp://hdl.handle.net/1885/295288
dc.language.isoen_AUen_AU
dc.provenancehttps://v2.sherpa.ac.uk/id/publication/9775/..."published version can be archived in institutional repository" from SHERPA/RoMEO site as at 08/08/2023en_AU
dc.publisherMIT Pressen_AU
dc.rights© 2020 The authorsen_AU
dc.sourceComputer Music Journalen_AU
dc.titleData-driven analysis of tiny touchscreen performance with MicroJamen_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.issue4en_AU
local.bibliographicCitation.lastpage57en_AU
local.bibliographicCitation.startpage41en_AU
local.contributor.affiliationMartin, Charles, College of Engineering and Computer Science, ANUen_AU
local.contributor.affiliationTorrensen, Jim, University of Osloen_AU
local.contributor.authoruidMartin, Charles, u4110680en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor460707 - Sound and music computingen_AU
local.identifier.absfor460806 - Human-computer interactionen_AU
local.identifier.absseo280115 - Expanding knowledge in the information and computing sciencesen_AU
local.identifier.ariespublicationa383154xPUB13898en_AU
local.identifier.citationvolume43en_AU
local.identifier.doi10.1162/comj_a_00536en_AU
local.identifier.scopusID2-s2.0-85095125347
local.identifier.thomsonIDWOS:000663365400006
local.publisher.urlhttps://direct.mit.edu/en_AU
local.type.statusPublished Versionen_AU

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