Dr. Felix Hamza-Lup’s main research interest is Human Computer Interaction, Human Perception and Artificial Intelligence. He currently is involved with research and development on multi-modal training and simulation systems in the following areas: medical simulation (laparoscopic surgery), Web3D intelligent deep learning, and thermal energy assessment systems (commercial/residential/military).
The combination of the synchronized electrical activity of all the neurons in the brain - brainwaves - can be captured in real-time using Brain-Computer Interfaces (BCIs). Portable and affordable BCIs emerged recently, and have the potential to objectively quantify attention and improve learning.
Dialogue implies listening, then generating a "tailored" response. With the "renaissance" of machine learning, deploying an automated system that "learns" from the learner's data and makes decisions with minimal human intervention, producing intelligent dialogue, becomes a tangible reality.
Haptics, from the Greek word "haptesthai" pertains to the sense of touch. Computer-based haptic technology recreates the sense of touch by applying forces or vibrations to the user's tactile system.