%0 Conference Proceedings
%T Towards Brain Computer Interfaces for Recreational Activities: Piloting a Drone
%+ Ingénierie de l’Interaction Homme-Machine (IIHM)
%+ GIPSA - Vision and Brain Signal Processing (GIPSA-VIBS)
%A Kos'Myna, Nataliya
%A Tarpin-Bernard, Franck
%A Rivet, Bertrand
%A Kosmyna, Nataliya
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B INTERACT 2015 - 15th Human-Computer Interaction
%C Bamberg, Germany
%Y Julio Abascal
%Y Simone Barbosa
%Y Tom Gross
%Y Marco Winckler
%Y Mirko Fetter
%Y Philippe Palanque
%I Springer
%3 Human-Computer Interaction – INTERACT 2015
%V LNCS-9296
%N Part I
%P 506-522
%8 2015-09-14
%D 2015
%R 10.1007/978-3-319-22701-6_37
%K Engagement
%K Replication
%K Drone
%K Brain Computer Interface
%K Engagement
%K Replication
%K Drone
%Z Computer Science [cs]/Human-Computer Interaction [cs.HC]Conference papers
%X Active Brain Computer Interfaces (BCIs) allow people to exert voluntary control over a computer system: brain signals are captured and imagined actions (movements, concepts) are recognized after a training phase (from 10 minutes to 2 months). BCIs are confined in labs, with only a few dozen people using them outside regularly (e.g. assistance for impairments). We propose a "Co-learning BCI" (CLBCI) that reduces the amount of training and makes BCIs more suitable for recreational applications. We replicate an existing experiment where the BCI controls a drone and compare CLBCI to their Operant Conditioning (OC) protocol over three durations of practice (1 day, 1 week, 1 month). We find that OC works at 80% after a month practice, but the performance is between 60 and 70% any earlier. In a week of practice, CLBCI reaches a performance of around 75%. We conclude that CLBCI is better suited for recreational use. OC should be reserved for users for whom performance is the main concern.
%G English
%Z TC 13
%2 https://hal.science/hal-01492578/document
%2 https://hal.science/hal-01492578/file/346937_1_En_37_Chapter.pdf
%L hal-01492578
%U https://hal.science/hal-01492578
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%~ CNRS
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%~ UNIV-PMF_GRENOBLE
%~ UNIV-GRENOBLE3
%~ INPG
%~ GIPSA
%~ GIPSA-DIS
%~ LIG
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%~ LIG_SIC_IIHM
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%~ IFIP-TC13
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%~ IFIP-LNCS-9296
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