AI / Human Centered Robotics colloquium - Dr. Eng. Maryam Alimardani, Vrije Universiteit Amsterdam

Title: Improving Human-Computer Interaction with Brain-Computer Interfaces

Abstract:

This talk introduces my research in brain-computer interfacing (BCI) and neuroadaptive human-computer interaction. My work leverages wearable sensors (primarily EEG, but also ECG and EDA) to collect neurophysiological data from users engaged in VR and human-robot interaction tasks. The goal of this research is twofold: 1) to investigate how mental states and cognitive performance evolve as users interact with immersive and intelligent systems, particularly in learning and skill-acquisition context, and 2) to develop AI-driven neurofeedback systems capable of decoding users' intentions and mental states in real-time in order to deliver personalized feedback and enhance learning outcome. In this talk, I will present our latest projects on 1) the development of a neuroadaptive framework for robot-assisted language learning, and 2) the design of a BCI system for monitoring cognitive workload in military pilots during VR-based flight training.