Brain-Computer Interfaces and neurotechnology allow direct communication between the human brain and external devices.
Originally, BCIs were developed to offer an alternative means of communication and control to individuals with motor disabilities. However, with the advancement of wearable sensors, the application of BCIs has expanded beyond the medical domain to encompass healthy individuals.
Particularly, BCIs hold great promise in enhancing educational and training paradigms for healthy users through real-time monitoring of cognitive states and personalization of learning experiences.
This session will present two research projects focused on utilizing EEG brain activity to monitor workload and attention levels in virtual reality training settings and human-robot interactions. The presentation will delve into established methodologies for the prediction of workload from brain signals and will showcase research outcomes that underline the potential of neurotechnology in fostering more engaging and effective training experiences for learners.