Research Interests
Trustworthy and explainable AI LLM agents and tool use Player modeling and behavior traces Human-AI collaboration Interactive entertainment systems
About
About
Professional background, research direction, and long-term interest in next-generation interactive entertainment.
Short Bio
Xunzhuo Zhang is a master's student and researcher working across HCI, game AI, LLM agents, and interactive entertainment. He also goes by Noah in informal contexts. His long-term interest is building next-generation interactive experiences that combine rigorous research with strong system-building and design judgment.
Research and Building Direction
Xunzhuo studies how LLM-based agents can model player behavior, support automated playtesting, and help researchers evaluate interactive systems through human-grounded evidence.
Background
His background combines computer science, media and information research, game-oriented prototyping, and AI-assisted workflow building.
Long-Term Direction
The larger arc of this work points toward interactive entertainment systems where AI agents are useful, legible, adaptive, and grounded in how people actually play, create, and collaborate.