Brain-Computer Interfaces (BCIs) are a fascinating field of investigation that reach the very essence of the human being. Restoring communication and movement are exemplary key applications of BCI. The potential of BCIs to contribute to solve important societal challenges is highlighted by its inclusion within recent H2020 research and innovation calls (e.g. ICT-22-2014). However, it continues to be difficult to transfer BCI technology to social and economic spheres. As in most emerging fields, there is still a huge gap between the prototypes being tested in research laboratories and usable BCIs for daily life. Some manufacturers and media have been casting a deceptive light on the field by hiding inner workings and implying that much can be controlled with little effort. But obviously human subjects are not deterministic machines and fine tuning is needed to adapt a BCI to a specific user. Conversely, it takes time and effort before users can reach their operational objective with a BCI. Our consortium is fully aware of this efficiency challenge and aims to make control of Brain-Computer Interfaces easier and more natural. Our proposal is 1) to adopt a novel user-centered approach, where the user is a learning entity rather than a static one, and 2) to develop trans-disciplinary conception of BCI, allowing diverse areas of expertise (engineering, computer science, neuroscience, medicine, psychology) to interact and to co-design this new generation of BCI.
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