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Conference papers

Biased feedback influences learning of Motor Imagery BCI

Jelena Mladenović 1, * Jérémy Frey 2 Jeremie Mattout 3 Fabien Lotte 1
* Corresponding author
1 Potioc - Popular interaction with 3d content
LaBRI - Laboratoire Bordelais de Recherche en Informatique, Inria Bordeaux - Sud-Ouest
Abstract : Various user trainings were proposed to assist the user in accomplishing Motor Imagery (MI) BCI task, e.g. the use of positive (biased) feedback which is an optimistic representation of one's labeled brain activity has shown to increase performance or learning. On the contrary, in some cases positive feedback decreased while negative increased user learning within one session. In order to better understand the benefits of biased feedback on performance and learning during the BCI training, we consider user states such as workload and the flow state, a state of optimal cognitive control, immersion, and pleasure, which has shown to correlate to performance.
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Submitted on : Monday, July 20, 2020 - 9:31:14 AM
Last modification on : Tuesday, April 12, 2022 - 10:12:07 AM
Long-term archiving on: : Tuesday, December 1, 2020 - 1:09:16 AM


Mladenovic2020-Biased feedback...
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  • HAL Id : hal-02902542, version 1


Jelena Mladenović, Jérémy Frey, Jeremie Mattout, Fabien Lotte. Biased feedback influences learning of Motor Imagery BCI. International BCI Meeting, Jun 2020, Bruxelles, Belgium. ⟨hal-02902542⟩



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