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dc.rights.licenseopenen_US
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
dc.contributor.authorPILLETTE, Lea
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorN'KAOUA, Bernard
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
dc.contributor.authorSABAU, Romain
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorGLIZE, Bertrand
ORCID: 0000-0001-9618-2088
IDREF: 178853267
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
dc.contributor.authorLOTTE, Fabien
IDREF: 139468617
dc.date.accessioned2021-06-30T09:19:24Z
dc.date.available2021-06-30T09:19:24Z
dc.date.issued2021-03-19
dc.identifier.issn2414-4088en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/94932
dc.description.abstractEnBy performing motor-imagery tasks, for example, imagining hand movements, Motor-Imagery based Brain-Computer Interfaces (MI-BCIs) users can control digital technologies, for example, neuroprosthesis, using their brain activity only. MI-BCI users need to train, usually using a unimodal visual feedback, to produce brain activity patterns that are recognizable by the system. The literature indicates that multimodal vibrotactile and visual feedback is more effective than unimodal visual feedback, at least for short term training. However, the multi-session influence of such multimodal feedback on MI-BCI user training remained unknown, so did the influence of the order of presentation of the feedback modalities. In our experiment, 16 participants trained to control a MI-BCI during five sessions with a realistic visual feedback and five others with both a realistic visual feedback and a vibrotactile one. training benefits from a multimodal feedback, in terms of performances and self-reported mindfulness. There is also a significant influence of the order presentation of the modality. Participants who started training with a visual feedback had higher performances than those who started training with a multimodal feedback. We recommend taking into account the order of presentation for future experiments assessing the influence of several modalities of feedback.
dc.language.isoENen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subject.enMotor imagery based brain-computer interfaces
dc.subject.enUser training
dc.subject.enMultimodal feedback
dc.subject.enVibrotactile feedback
dc.subject.enRealistic visual feedback
dc.title.enMulti-Session Influence of Two Modalities of Feedback and Their Order of Presentation on MI-BCI User Training
dc.typeArticle de revueen_US
dc.identifier.doi10.3390/mti5030012en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
bordeaux.journalMultimodal Technologies and Interactionen_US
bordeaux.volume5en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - UMR 1219en_US
bordeaux.issue3en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionINSERMen_US
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.teamHACSen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.exportfalse
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Multimodal%20Technologies%20and%20Interaction&rft.date=2021-03-19&rft.volume=5&rft.issue=3&rft.eissn=2414-4088&rft.issn=2414-4088&rft.au=PILLETTE,%20Lea&N'KAOUA,%20Bernard&SABAU,%20Romain&GLIZE,%20Bertrand&LOTTE,%20Fabien&rft.genre=article


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