Current research results in the field of neuroergonomic interaction between humans and robots in the context of Industry 4.0 show that the coupling between neuro- and physio-ergonomics occupies a high position, especially in highly digitized production. In order to strengthen this coupling, approaches for optimizing human-machine interaction are to be integrated into production processes. This is aimed in particular at the development of hybrid approaches that jointly integrate neuro- and physio-ergonomic methods. The project pursues a generalized approach in the form of a neuro-to-X platform, which adequately records data using neurotechnological measurement systems as well as data from production, fuses them and provides them for methods for evaluating and optimizing neuroergonomics.