Adaptive e-Learning EEG-based Environment

The present dissertation goal was to research the development of an adaptive e-learning web application environment based on the user’s mental states and provide a positive user experience. The mental state that was selected was that of relaxation and concentration. These states will be calculated using a low-cost EEG device that the user will wear throughout his/her interaction with the environment. These mental states will correspond to the Available and Busy statuses of the system and will be changed automatically by the system to match with the detected mental states. Also, these status changes will also enable/disable system Notifications accordingly. Then a system evaluation will be deployed using 10 participants. The evaluation showed that such a system would indeed have a positive user experience.