Research
Human-Robot Interaction (HRI)
My work in human-robot interaction (HRI) focuses on LLM-powered social robots for low-latency, real-time, multimodal interaction. I study how task-level mechanistic transparency that shows the robot’s live reasoning on its tablet affects trust and perceived reliability. I also investigate how embodiment factors such as physical presence, vision, and gesture shape trust in competitive interaction with Pepper.
Computational Neuroscience
My computational neuroscience research focuses on how the brain represents and processes information, with emphasis on visual perception, semantic encoding, action representation, and natural stimulus reconstruction. I use high-dimensional fMRI analysis and machine learning methods such as representational similarity analysis and multivariate pattern analysis to study category representations, action signals, and perceptual similarity in visual cortex.