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dc.date.accessioned2023-03-09T16:43:08Z
dc.date.available2023-03-09T16:43:08Z
dc.date.created2022-11-09T18:21:15Z
dc.date.issued2022
dc.identifier.citationKrzyzaniak, Michael Joseph Bishop, Laura . Professor Plucky—Expressive body motion in human- robot musical ensembles. MOCO '22: Proceedings of the 8th International Conference on Movement and Computing. 2022 Association for Computing Machinery (ACM)
dc.identifier.urihttp://hdl.handle.net/10852/101117
dc.description.abstractWhen people play music together, they move their bodies, and that movement plays an important role in the activity of group music making. In contrast, when robots play music with people, the robots are usually stiff and mechanical in their movement. In general, it is not well understood how the movement of such robots affects how people interact with them, or how the robot movement should be designed in order to promote certain features of interaction. As an initial exploration into these questions, we built a prototype guitar plucking robot that plucks the strings with either a) kinetic plucking mechanisms that are designed to have visually appealing movement, or b) control plucking mechanisms that do not visually move. In a pilot study we found that when guitarists play with the robot, they move their hands more and look at the robot more when it uses the kinetic mechanisms as opposed to the control ones. However, they do not report preferring the kinetic mechanisms. These preliminary findings suggest some very clear hypotheses for future followup studies.
dc.languageEN
dc.publisherAssociation for Computing Machinery (ACM)
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleProfessor Plucky—Expressive body motion in human- robot musical ensembles
dc.title.alternativeENEngelskEnglishProfessor Plucky—Expressive body motion in human- robot musical ensembles
dc.typeChapter
dc.creator.authorKrzyzaniak, Michael Joseph
dc.creator.authorBishop, Laura
cristin.unitcode185,15,5,95
cristin.unitnameRITMO Senter for tverrfaglig forskning på rytme, tid og bevegelse (IFI)
cristin.ispublishedtrue
cristin.fulltextoriginal
dc.identifier.cristin2071464
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.btitle=MOCO '22: Proceedings of the 8th International Conference on Movement and Computing&rft.spage=&rft.date=2022
dc.identifier.doihttps://doi.org/10.1145/3537972.3537983
dc.type.documentBokkapittel
dc.type.peerreviewedPeer reviewed
dc.source.isbn978-1-4503-8716-3
dc.type.versionPublishedVersion
cristin.btitleMOCO '22: Proceedings of the 8th International Conference on Movement and Computing
dc.relation.projectNFR/262762


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