@InProceedings{10.1007/978-3-319-22701-6_36,
author="Jeunet, Camille
and Vi, Chi
and Spelmezan, Daniel
and N'Kaoua, Bernard
and Lotte, Fabien
and Subramanian, Sriram",
editor="Abascal, Julio
and Barbosa, Simone
and Fetter, Mirko
and Gross, Tom
and Palanque, Philippe
and Winckler, Marco",
title="Continuous Tactile Feedback for Motor-Imagery Based Brain-Computer Interaction in a Multitasking Context",
booktitle="Human-Computer Interaction -- INTERACT 2015",
year="2015",
publisher="Springer International Publishing",
address="Cham",
pages="488--505",
abstract="Motor-Imagery based Brain Computer Interfaces (MI-BCIs) allow users to interact with computers by imagining limb movements. MI-BCIs are very promising for a wide range of applications as they offer a new and non-time locked modality of control. However, most MI-BCIs involve visual feedback to inform the user about the system's decisions, which makes them difficult to use when integrated with visual interactive tasks. This paper presents our design and evaluation of a tactile feedback glove for MI-BCIs, which provides a continuously updated tactile feedback. We first determined the best parameters for this tactile feedback and then tested it in a multitasking environment: at the same time users were performing the MI tasks, they were asked to count distracters. Our results suggest that, as compared to an equivalent visual feedback, the use of tactile feedback leads to a higher recognition accuracy of the MI-BCI tasks and fewer errors in counting distracters.",
isbn="978-3-319-22701-6"
}