Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/31593
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dc.contributor.authorZioga, Polinaen_UK
dc.contributor.authorPollick, Franken_UK
dc.contributor.authorMa, Minhuaen_UK
dc.contributor.authorChapman, Paulen_UK
dc.contributor.authorStafanov, Kristianen_UK
dc.date.accessioned2020-08-27T00:02:47Z-
dc.date.available2020-08-27T00:02:47Z-
dc.date.issued2018en_UK
dc.identifier.other191en_UK
dc.identifier.urihttp://hdl.handle.net/1893/31593-
dc.description.abstractThe fields of neural prosthetic technologies and Brain-Computer Interfaces (BCIs) have witnessed in the past 15 years an unprecedented development, bringing together theories and methods from different scientific fields, digital media, and the arts. More in particular, artists have been amongst the pioneers of the design of relevant applications since their emergence in the 1960s, pushing the boundaries of applications in real-life contexts. With the new research, advancements, and since 2007, the new low-cost commercial-grade wireless devices, there is a new increasing number of computer games, interactive installations, and performances that involve the use of these interfaces, combining scientific, and creative methodologies. The vast majority of these works use the brain-activity of a single participant. However, earlier, as well as recent examples, involve the simultaneous interaction of more than one participants or performers with the use of Electroencephalography (EEG)-based multi-brain BCIs. In this frame, we discuss and evaluate “Enheduanna—A Manifesto of Falling,” a live brain-computer cinema performance that enables for the first time the simultaneous real-time multi-brain interaction of more than two participants, including a performer and members of the audience, using a passive EEG-based BCI system in the context of a mixed-media performance. The performance was realised as a neuroscientific study conducted in a real-life setting. The raw EEG data of seven participants, one performer and two different members of the audience for each performance, were simultaneously recorded during three live events. The results reveal that the majority of the participants were able to successfully identify whether their brain-activity was interacting with the live video projections or not. A correlation has been found between their answers to the questionnaires, the elements of the performance that they identified as most special, and the audience's indicators of attention and emotional engagement. Also, the results obtained from the performer's data analysis are consistent with the recall of working memory representations and the increase of cognitive load. Thus, these results prove the efficiency of the interaction design, as well as the importance of the directing strategy, dramaturgy and narrative structure on the audience's perception, cognitive state, and engagement.en_UK
dc.language.isoenen_UK
dc.publisherFrontiers Mediaen_UK
dc.relationZioga P, Pollick F, Ma M, Chapman P & Stafanov K (2018) "Enheduanna - A Manifesto of Falling" Live Brain-Computer Cinema Performance: Performer and Audience Participation, Cognition and Emotional Engagement Using Multi-Brain BCI Interaction. Frontiers in Neuroscience, 12, Art. No.: 191. https://doi.org/10.3389/fnins.2018.00191en_UK
dc.rights© 2018 Zioga, Pollick, Ma, Chapman and Stefanov. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjectLive Brain-Computer Cinema Performance, Brain-Computer Interface (BCI), Multi-Brain Interaction, Electroencephalography (EEG), Performer, Audience Participation, Attention, Emotional Engagementen_UK
dc.title"Enheduanna - A Manifesto of Falling" Live Brain-Computer Cinema Performance: Performer and Audience Participation, Cognition and Emotional Engagement Using Multi-Brain BCI Interactionen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.3389/fnins.2018.00191en_UK
dc.identifier.pmid29666566en_UK
dc.citation.jtitleFrontiers in Neuroscienceen_UK
dc.citation.issn1662-453Xen_UK
dc.citation.issn1662-4548en_UK
dc.citation.volume12en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderStaffordshire Universityen_UK
dc.author.emailpolina.zioga@stir.ac.uken_UK
dc.citation.date03/04/2018en_UK
dc.contributor.affiliationStaffordshire Universityen_UK
dc.contributor.affiliationUniversity of Glasgowen_UK
dc.contributor.affiliationStaffordshire Universityen_UK
dc.contributor.affiliationGlasgow School of Arten_UK
dc.contributor.affiliationUniversity of Glasgowen_UK
dc.identifier.isiWOS:000429051100001en_UK
dc.identifier.scopusid2-s2.0-85045023496en_UK
dc.identifier.wtid1654343en_UK
dc.contributor.orcid0000-0003-1317-2074en_UK
dc.date.accepted2018-03-09en_UK
dcterms.dateAccepted2018-03-09en_UK
dc.date.filedepositdate2020-08-25en_UK
dc.subject.tagAudiencesen_UK
dc.subject.tagBrain-machine interfacingen_UK
dc.subject.tagCognitive and Affective Computingen_UK
dc.subject.tagCognitive neuroscienceen_UK
dc.subject.tagDigital Mediaen_UK
dc.subject.tagEEGen_UK
dc.subject.tagFilm Theory - Technologyen_UK
dc.subject.tagInteractiveen_UK
dc.subject.tagMobile Cognitionen_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorZioga, Polina|0000-0003-1317-2074en_UK
local.rioxx.authorPollick, Frank|en_UK
local.rioxx.authorMa, Minhua|en_UK
local.rioxx.authorChapman, Paul|en_UK
local.rioxx.authorStafanov, Kristian|en_UK
local.rioxx.projectProject ID unknown|Staffordshire University|http://dx.doi.org/10.13039/100010020en_UK
local.rioxx.freetoreaddate2020-08-26en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2020-08-26|en_UK
local.rioxx.filenameZioga_et_al.-2018-fnins-12-00191.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source1662-453Xen_UK
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