Print Email Facebook Twitter Error-related EEG patterns during tactile human-machine interaction Title Error-related EEG patterns during tactile human-machine interaction Author Lehne, M. Ihme, K. Brouwer, A.M. van Erp, J.B.F. Zander, T.O. TNO Defensie en Veiligheid Publication year 2009 Abstract Recently, the use of brain-computer interfaces (BCIs) has been extended from active control to passive detection of cognitive user states. These passive BCI systems can be especially useful for automatic error detection in human-machine systems by recording EEG potentials related to human error processing. Up to now, these so-called error potentials have only been observed in the visual and auditory modality. However, new interfaces making use of the tactile sensory modality for conveying information to the user are on the rise. The present study aims at investigating the feasibility of BCI error detection during tactile human-machine interaction. Therefore, an experiment was conducted where EEG was measured while participants interacted with a tactile interface. During this interaction, errors of the user as well as of the interface were induced. It was shown that EEG patterns after erroneous behavior - either of the user or of the interface - significantly differed from patterns after correct responses. ©2009 IEEE. Subject PerceptionAutomatic error detectionError potentialPassive brain-computer interfaceTactile human-machine interaction To reference this document use: http://resolver.tudelft.nl/uuid:4c9fec75-2002-48df-85aa-8fa790308f7b DOI https://doi.org/10.1109/acii.2009.5349480 TNO identifier 346436 ISBN 9781424447992 Source 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009, 10 September 2009 through 12 September 2009, Amsterdam Article number 5349480 Document type conference paper Files To receive the publication files, please send an e-mail request to TNO Library.