Towards Neuroadaptive Technology: Implicitly Controlling a Cursor Though a Passive Brain–Computer Interface

Abstract Today's interaction with technology is asymmetrical in the sense that the operator has access to all details concerning the machine's internal state, whereas the machine only has access to the few commands explicitly communicated to it by the human. During such asymmetrical interaction, the human brain is continuously and automatically processing information concerning its internal and external context, including the environment of the human and the events happening there. We investigate how this information could be made available in real time and how it could be interpreted automatically by the machine to generate a model of its operator’s cognition. This model then can serve as a predictor to estimate the operator’s intentions, situational interpretations, and emotions, enabling the machine to adapt to them.