F
Fabien Lotte
Researcher at L'Abri
Publications - 189
Citations - 11832
Fabien Lotte is an academic researcher from L'Abri. The author has contributed to research in topics: Brain–computer interface & Electroencephalography. The author has an hindex of 42, co-authored 179 publications receiving 9441 citations. Previous affiliations of Fabien Lotte include University of Bordeaux & French Institute for Research in Computer Science and Automation.
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The Impact of Flow in an EEG-based Brain Computer Interface
TL;DR: This paper manipulated flow in a Motor Imagery BCI game by adapting the task difficulty and using background music, and showed that the difficulty adaptation induced a higher flow state, however music had no effect.
PEANUT: Personalised Emotional Agent for Neurotechnology User-Training
TL;DR: PEANUT is designed and tested, the first Learning Companion providing social presence and emotional support dedicated to the improvement of MI-BCI user-training, and promising results revealed that participants accompanied by PEANUT found the MI- BCI system significantly more usable.
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Would Motor-Imagery based BCI user training benefit from more women experimenters?
TL;DR: It seems to suggest that women experimenters may positively influence partici-pants' progress compared to men experimenters in MI-BCI performances and progress throughout a session.
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AI in the media and creative industries
Baptiste Caramiaux,Fabien Lotte,Joost Geurts,Giuseppe Amato,Malte Behrmann,Frédéric Bimbot,Fabrizio Falchi,Ander Garcia,Jaume Gibert,Guillaume Gravier,Hadmut Holken,Hartmut Koenitz,Sylvain Lefebvre,Antoine Liutkus,Andrew Perkis,Rafael Redondo,Enrico Turrin,Thierry Viéville,Emmanuel Vincent +18 more
TL;DR: This white paper aims to provide a realistic perspective of the scope of AI actions in creative industries, proposes a vision of how this technology could contribute to research and development works in such context, and identifiesResearch and development challenges.