Brain-to-brain interface increases efficiency of human-human interaction

We propose a special brain-brain interface (BBI) to enhance human-human interaction while performing collective tasks. The efficiency of the proposed interface is estimated in experimental sessions, where participants are subjected to the prolonged task of classification of ambiguous visual stimuli with different degrees of ambiguity. Our BBI allows increasing the mean working performance of a group of operators due to optimal real-time redistribution of a cognitive load among all participants, so that the more difficult task is always given to the member who exhibits the maximum cognitive performance. We show that human-human interaction is more efficient in the presence of the coupling delay determined by brain rhythms of the participants.

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