Enhancing innovation behaviour of enterprise personnel through neurofeedback training based on electroencephalography

Abstract

This paper aims to develop a neurofeedback (NFB) training system to improve the innovation behaviour of enterprise personnel based on the electroencephalography (EEG). To this end, an NFB training system was designed to extract feature parameters from real-time EEG signals and generate feedback information. Based on the information, a structural equation model was constructed with 5 types of personalities as independent variables and the 3 aspects of innovation behaviours as the dependent variables. Then, 22 enterprise personnel were divided into the training group and the control group and invited to participate in an experiment of five training sessions. The comparison shows that the post-training innovative ability of the training group is much better than that of the control group. The conclusion sheds new light on personality theory in brain neurology, and the management research from the perspective of brain neurology.