Research Vision

I develop human-centric systems that read users' states from nonverbal cues and adapt their support to each individual in daily living environments.

My research focuses on human-state-aware robot partner systems for smart living and assistive robotics. I study how robots and intelligent systems can estimate users’ attention, intention, interest, hesitation, and support needs from multimodal nonverbal information such as gaze, gesture, posture, and contextual information.

Application domains include smart homes, mixed-reality living environments, and human–robot interaction for daily-life support.

For funded projects and academic service, see my Curriculum Vitae.