The Impact of Flow in an EEG-based Brain Computer Interface

Abstract : Major issues in Brain Computer Interfaces (BCIs) include low usability and poor user performance. This paper tackles them by ensuring the users to be in a state of immersion, control and motivation, called state of flow. Indeed, in various disciplines, being in the state of flow was shown to improve performances and learning. Hence, we intended to draw BCI users in a flow state to improve both their subjective experience and their performances. In a Motor Imagery BCI game, we manipulated flow in two ways: 1) by adapting the task difficulty and 2) by using background music. Results showed that the difficulty adaptation induced a higher flow state, however music had no effect. There was a positive correlation between subjective flow scores and offline performance, although the flow factors had no effect (adaptation) or negative effect (music) on online performance. Overall, favouring the flow state seems a promising approach for enhancing users’ satisfaction, although its complexity requires more thorough investigations.
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Contributeur : Jelena Mladenovic <>
Soumis le : lundi 5 juin 2017 - 12:36:23
Dernière modification le : mercredi 25 juillet 2018 - 14:32:02
Document(s) archivé(s) le : mercredi 6 septembre 2017 - 10:16:58


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  • HAL Id : hal-01527748, version 1
  • ARXIV : 1706.01728


Jelena Mladenović, Jérémy Frey, Manon Bonnet-Save, Jérémie Mattout, Fabien Lotte. The Impact of Flow in an EEG-based Brain Computer Interface. 7th International BCI Conference, Sep 2017, Graz, Austria. Proceedings of the 7th International BCI Conference, 〈〉. 〈hal-01527748〉



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