The Impact of Flow in an EEG-based Brain Computer Interface - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2017

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

Résumé

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.
Fichier principal
Vignette du fichier
main.pdf (426.89 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-01527748 , version 1 (05-06-2017)

Identifiants

Citer

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. ⟨hal-01527748⟩
519 Consultations
505 Téléchargements

Altmetric

Partager

More