A Better Acceptance for a Better Efficiency of Brain-Computer Interface (BCI)-based Stroke Rehabilitation – ABCIS

While promising, BCI-based stroke rehabilitation is still barely used in practice, notably due to its limited efficiency. For the first time, we tackle the issue of BCI low efficiency from the technology-acceptance standpoint. We will identify and model the factors influencing BCI acceptance (WP1) in the aim (1) to design innovative BCI-based rehabilitation procedures adapted to each patient (WP2); and (2) to combat BCI-related misconceptions (WP3). By personalising the rehabilitation training and by properly informing the population (including the patients and their entourage), we aim at reducing the patients’ anxiety, facilitate their learning, improve their technology-acceptance, and therefore enhance the efficiency of BCI-based stroke rehabilitation.