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Motor imagery is one common paradigm in brain computer interface (BCI) systems where the user imagines moving a part of his/her body to control a computer. Motor imagery is endogenous and requires a large amount of training for the user to be able to control the BCI. Therefore, the feedback that is provided to the user is critical to ensure informative insight into improving imagery skills. In this study, we investigate a new protocol for providing motor imagery feedback and compare it to the conventional feedback scheme. The proposed feedback focuses on ‘elaborating’ how the user can improve imagery as opposed to the conventional training protocols which only provide information on whether the user was ‘correct’ in performing imagery. Our results show that providing more easily interpretable feedback results in more efficient motor imagery training and is preferred by the users.

Towards Elaborated feedback for Training motor imagery brain Computer Interfaces