Brain activity and mental workload associated with artistic practice.

Hdl Handle:
http://hdl.handle.net/10545/622252
Title:
Brain activity and mental workload associated with artistic practice.
Authors:
Locke, Caroline ( 0000-0001-7085-8123 ) ; Swann, Debra; Wilson, Max; Maior, Horia
Abstract:
We 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.
Affiliation:
University of Derby; Nottingham Trent University
Citation:
Locke, C. et al (2018) 'Brain activity and mental workload associated with artistic practice.' Presented at Conference on Human Factors in Computing Systems (CHI 2018) Artistic BCI Workshop, Montreal, 9th February.
Publisher:
Conference on Human Factors in Computing Systems
Issue Date:
9-Feb-2018
URI:
http://hdl.handle.net/10545/622252
Additional Links:
https://artisticbci.wordpress.com; https://chi2018.acm.org
Type:
Presentation
Language:
en
Sponsors:
This work was supported by the Engineering and Physical Sciences Research Council [grant numbers EP/G037574/1, EP/M000877/1, EP/N50970X/1].
Appears in Collections:
School of Arts; D-MARC

Full metadata record

DC FieldValue Language
dc.contributor.authorLocke, Carolineen
dc.contributor.authorSwann, Debraen
dc.contributor.authorWilson, Maxen
dc.contributor.authorMaior, Horiaen
dc.date.accessioned2018-03-12T11:21:29Z-
dc.date.available2018-03-12T11:21:29Z-
dc.date.issued2018-02-09-
dc.identifier.citationLocke, C. et al (2018) 'Brain activity and mental workload associated with artistic practice.' Presented at Conference on Human Factors in Computing Systems (CHI 2018) Artistic BCI Workshop, Montreal, 9th 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.en
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 practice.en
dc.typePresentationen
dc.contributor.departmentUniversity of Derbyen
dc.contributor.departmentNottingham Trent Universityen
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