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dc.contributor.authorVear, Craig
dc.contributor.otherBenerradi, Johann
dc.coverage.spatialUnited Kingdom, United Statesen_UK
dc.date.accessioned2023-06-15T08:06:33Z
dc.date.available2023-06-15T08:06:33Z
dc.date.issued2023-06-15
dc.identifier.urihttps://rdmc.nottingham.ac.uk/handle/internal/10518
dc.description.abstractComplete and clean dataset from Embodied Musicking project. The original files and project are found at https://github.com/Creative-AI-Research-Group/embodiedMusickingDataset This project aimed to design, develop and demonstrate a unique dataset capturing human creativity from inside the embodied relationships of music performance. The understanding of such a critical and fruitful mesh of environment, embodiment, new goal creation, and human-machine cooperation, will allow this project to cast a new light on the role of embodiment in HDI in music. It gathered physiological and psychological data about the way in which human beings can create and enjoy music performance through their data streams. This dataset aimed to be be the first of its kind to deal with embodied creativity, and will have potential impact upon the fields of realtime performance, game engine integration, companion-bots, healthcare interventions through art, and other interpersonal interaction between people, their data and their machines. Our novel approach of forefronting musicking (over the score) in the process of musical creation will offer new pathways of exploration for those already examining computer models of musical creativity.en_UK
dc.language.isoenen_UK
dc.publisherUniversity of Nottinghamen_UK
dc.rightsCC-BY*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subject.lcshMusic -- Performanceen_UK
dc.subject.lcshData setsen_UK
dc.subject.lcshHuman-computer interactionen_UK
dc.subject.lcshCreative abilityen_UK
dc.titleEmbodied musicking dataset (clean & complete)en_UK
dc.typedataset
dc.identifier.doihttp://doi.org/10.17639/nott.7309
dc.subject.freemusicking, dataset, embodied, performanceen_UK
dc.subject.jacsCreative Arts & Design::Music::Music technology & industry::Creative music technologyen_UK
dc.subject.lcQ Science::QA Mathematics::QA 75 Electronic computers. Computer scienceen_UK
dc.subject.lcM Music and Literature on music::ML Literature of musicen_UK
dc.date.collection2020en_UK
uon.divisionUniversity of Nottingham, UK Campus::Faculty of Science::School of Computer Scienceen_UK
uon.funder.controlledNoneen_UK
uon.datatypeDataseten_UK
uon.collectionmethodData collection protocolen_UK


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