About Me

My research explores Human–Agent Interaction in XR, focusing on a future in which people create AI agents that represent and communicate on their behalf in immersive environments. I develop new communication frameworks for these human-representative agents, particularly in mediated and asynchronous interactions where users may not be physically present or available in real time. Ultimately, I aim to contribute to future communication technologies that are more personalized, accessible, and socially effective, while ensuring that users retain agency and trust in how they are represented.

Human–Agent Interaction XR Avatars & Agents Social Communication Human Agency

🚀 Recent & Upcoming News

🏫 Postdoctoral Associate @ University of Georgia Sep 2026 – Present
Beginning a new position as a Postdoctoral Associate at the University of Georgia.
🎓 Ph.D. Graduation from KAIST Aug 2026
Received a Ph.D. in Culture Technology from KAIST.
📍 Visiting Researcher @ Georgia Tech Dec 2025 – Apr 2026
School of Interactive Computing · Collaborating with Prof. Yalong Yang
🎤 Three TVCG Papers @ IEEE VR 2026 Mar 2026
Three papers (1 first-author, 2 co-author) will be published in IEEE Transactions on Visualization and Computer Graphics and presented at IEEE VR 2026 in Daegu, Korea.

🔍 Research Snapshot

Theme: Designing human-centered communication between people and their representative agents in XR.

My research lies at the intersection of human–computer interaction, XR, and social AI. I investigate how human-representative agents can convey users’ identities, intentions, emotions, and communication styles while adapting to different social contexts.

  • Human-representative agents: Exploring how avatars and AI agents can represent and communicate on behalf of people.
  • Agent-mediated communication: Developing new frameworks for mediated and asynchronous interaction across time and space.
  • Adaptive social behavior: Designing personalized and context-aware verbal and nonverbal agent behaviors.
  • Human-centered evaluation: Examining social presence, identity, agency, authenticity, and trust through mixed-method user studies.

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