Several studies describe evoked EEG potentials elicited when a subject is aware of an erroneous decision either taken by him or by an external interface. This paper studies Error-related potentials (ErrP) elicited when a human user monitors an external system upon which he has no control whatsoever. In addition, the possibility of using the ErrPs as a learning signals to infer the user’s intended strategy is also addressed. Experimental results show that single-trial recognition of correct and error trials can be achieved, allowing the fast learning of the user’s strategy. These results may constitute the basis of a new kind of human-computer interaction where the former provides monitoring signals that can be used to modify the performance of the latter.
CITATION STYLE
Chavarriaga, R., Ferrez, P. W., & Millán, J. del R. (2008). To Err is Human: Learning from Error Potentials in Brain-Computer Interfaces. In Advances in Cognitive Neurodynamics ICCN 2007 (pp. 777–782). Springer Netherlands. https://doi.org/10.1007/978-1-4020-8387-7_134
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