Towards a Spatial Ability Training to Improve Mental Imagery based Brain-Computer Interface (MI-BCI) Performance: a Pilot Study

Suzy Teillet 1 Fabien Lotte 2, 1 Bernard N'Kaoua 3, 4 Camille Jeunet 4, 1
1 Potioc - Popular interaction with 3d content
LaBRI - Laboratoire Bordelais de Recherche en Informatique, Inria Bordeaux - Sud-Ouest
3 Phoenix - Programming Language Technology For Communication Services
LaBRI - Laboratoire Bordelais de Recherche en Informatique, Inria Bordeaux - Sud-Ouest, EA4136 - Handicap et système nerveux :Action, communication, interaction: rétablissement de la fonction et de la participation [Bordeaux]
Abstract : —Although Mental Imagery based Brain-Computer Interfaces (MI-BCIs) seem to be very promising for many applications, they are still rarely used outside laboratories. This is partly due to suboptimal training protocols, which provide little help to users learning how to control the system. Indeed, they do not take into account recommendations from instructional design. However, it has been shown that MI-BCI performances are significantly correlated to certain aspects of the users' cognitive profile, such as their Spatial Abilities (SA). Thus, it remains to be elucidated whether training the SA of BCI users would also improve their BCI control performance. Therefore, we proposed and validated an SA training that aimed at being included in an MI-BCI training protocol. Our pre-studies indeed confirmed that such a training does increase people's SA abilities. We then conducted a pilot study with 3 participants, one with a standard MI-BCI training protocol, one with the proposed SA training integrated into a standard MI-BCI training, and another control integrating another training, here verbal comprehension tasks, into a standard MI-BCI training. While such a small population cannot lead to any strong result, our first results show that SA training can indeed be integrated into MI-BCI training and is thus worth being further investigated for BCI user training.
Type de document :
Communication dans un congrès
IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016) , Oct 2016, Budapest, Hungary. Proceeding of the IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016) pp.6, 2016, <http://www.smc2016.org/>
Liste complète des métadonnées


https://hal.inria.fr/hal-01341042
Contributeur : Camille Jeunet <>
Soumis le : samedi 9 juillet 2016 - 12:27:35
Dernière modification le : mercredi 4 janvier 2017 - 16:00:05
Document(s) archivé(s) le : lundi 10 octobre 2016 - 10:10:14

Fichier

IEEESMC_Paper_predictorsV03.pd...
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01341042, version 1

Collections

Citation

Suzy Teillet, Fabien Lotte, Bernard N'Kaoua, Camille Jeunet. Towards a Spatial Ability Training to Improve Mental Imagery based Brain-Computer Interface (MI-BCI) Performance: a Pilot Study. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016) , Oct 2016, Budapest, Hungary. Proceeding of the IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016) pp.6, 2016, <http://www.smc2016.org/>. <hal-01341042>

Partager

Métriques

Consultations de
la notice

461

Téléchargements du document

125