About Dr. Maryam
Dr. Maryam Alimardani is an associate professor at Vrije Universiteit Amsterdam working in the domains of Brain-Computer Interfacing and Human-Computer Interaction. She holds a PhD from the Intelligent Robotics laboratory, Osaka University, Japan. In her research, she develops BCI systems for personalized interaction with technology, particularly for the purpose of adaptive training and learning. Using EEG brain signals and advanced AI models, she creates intelligent interfaces to monitor a user’s mental states (such as attention and workload) and provide personalized feedback. She has applied BCI systems to various interactive technologies, including virtual reality simulations and social robots, to give the user better control and enhanced experience with the technology.
The Talk
The promise of neurotechnology and BCIs in education and training
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.