HCI · Game AI · LLM Agents · Interactive Entertainment
I'm Xunzhuo Zhang — an HCI and game-AI researcher. My work connects LLM agents, player modeling, automated playtesting, and trustworthy interactive systems.
Currently
Master's thesis — LLM agents & player types in automated playtesting.
2025–present · IUI direction
Designing agent workflows that can explore game environments and produce useful behavioral evidence.
→ 02Turning gameplay traces into interpretable patterns for player type reasoning and design feedback.
→ 03Comparing agent behavior against human traces instead of relying only on outcome metrics.
→ 04Studying how interactive entertainment systems can become more adaptive, explainable, and human-centered.
→ 2025 - present
Thesis direction
A research direction exploring how LLM-based agents can support automated playtesting while reflecting different player behavior patterns.
LLM Agents/Automated Playtesting/Player Modeling/Game AI
2025 - present
Method project
A method-oriented project for comparing AI agent behavior with human traces across interactive game environments.
Behavior Traces/Human-Agent Comparison/Evaluation/HCI
A lightweight workflow system for AI-assisted research practice.
A system-oriented project for organizing AI-assisted research workflows, task decomposition, and repeatable analysis routines.
2026 · System designer and developer
Details →Research experiments around LLM agents, player types, and game behavior traces.
A careful public overview of thesis-related experiments in automated playtesting and human-agent behavioral comparison.
2025 - present · Researcher
Details →