Error-related EEG patterns during tactile human-machine interaction
conference paper
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.
Topics
TNO Identifier
346436
ISBN
9781424447992
Article nr.
5349480
Source title
3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009, 10 September 2009 through 12 September 2009, Amsterdam
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