معرفی
Yunpeng Bai is a researcher affiliated with the Department of Information and Communications Engineering, focusing on interdisciplinary projects that bridge human cognition and machine learning. Their work explores how eye-tracking technologies can decode cognitive states to enhance adaptive learning systems and user interfaces.
- Active in research areas like Human Computer Interaction, Learning Systems, and Visual Attention
- Engaged in the 2024-2029 EU Horizon Europe ERC-funded project "Artificial User" studying eye movement control and user performance
- Published a 2025 conference paper on cognitive load analysis using eye-tracking data in educational contexts
Their research integrates Machine Learning with Educational Technology, emphasizing Adaptive Learning systems and Large Language Model applications to improve human-computer interaction through biometric feedback.
Recent work demonstrates how Eye Tracking can predict cognitive states, enabling dynamic user interfaces that respond to Visual Attention patterns and Working Memory demands. This aligns with broader goals in Artificial Intelligence and Reinforcement Learning to create responsive learning environments.
Collaborations include the "Artificial User" project (2024-2029), which examines biometric-driven user performance metrics in AI systems. The project involves multiple research team members and external collaborators, reflecting Bai's engagement in multidisciplinary research networks.
