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dc.contributor.authorLocke, Caroline
dc.contributor.authorSwann, Debra
dc.contributor.authorWilson, Max
dc.contributor.authorMaior, Horia
dc.date.accessioned2018-03-12T11:21:29Z
dc.date.available2018-03-12T11:21:29Z
dc.date.issued09/02/2018
dc.identifier.citationLocke, C. et al. (2018). 'Brain activity and mental workload associated with artistic practice.' [Presentation]. Conference on Human Factors in Computing Systems (CHI 2018) Artistic BCI Workshop, Montreal, 9 February.en
dc.identifier.urihttp://hdl.handle.net/10545/622252
dc.description.abstractWe present the first stage of our on-going artist-driven BCI collaboration, where we equipped an artist with the brain scanning technique functional Near Infrared Spectroscopy (fNIRS) in order to record mental workload levels during her creative practice. We artists are interested in exposing the hidden cognitive processes involved in our creative practice, in order to reuse or integrate the data into our performances. The computer science researchers are interested in collecting unstructured ‘in the wild’ fNIRS data, and to see how the artists interpret the data retrospectively. We highlight some interesting early examples from the data and describe our on-going plans. We will have completed a second data collection before the workshop.
dc.description.sponsorshipThis work was supported by the Engineering and Physical Sciences Research Council [grant numbers EP/G037574/1, EP/M000877/1, EP/N50970X/1].en
dc.language.isoenen
dc.publisherConference on Human Factors in Computing Systemsen
dc.relation.urlhttps://artisticbci.wordpress.comen
dc.relation.urlhttps://chi2018.acm.orgen
dc.subjectData analyticsen
dc.subjectPerformanceen
dc.subjectBrain activityen
dc.titleBrain activity and mental workload associated with artistic practiceen
dc.typePresentationen
dc.contributor.departmentUniversity of Derbyen
dc.contributor.departmentNottingham Trent Universityen
refterms.dateFOA2020-10-13T15:48:12Z
html.description.abstractWe present the first stage of our on-going artist-driven BCI collaboration, where we equipped an artist with the brain scanning technique functional Near Infrared Spectroscopy (fNIRS) in order to record mental workload levels during her creative practice. We artists are interested in exposing the hidden cognitive processes involved in our creative practice, in order to reuse or integrate the data into our performances. The computer science researchers are interested in collecting unstructured ‘in the wild’ fNIRS data, and to see how the artists interpret the data retrospectively. We highlight some interesting early examples from the data and describe our on-going plans. We will have completed a second data collection before the workshop.


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