LLM-Think-Alouds: Multimodal Player Experience Analysis for VR Playtesting
Conditionally accepted to IEEE ISMAR 2026 and IEEE TVCG. A multimodal LLM approach for analyzing VR playtesting sessions.
Virtual Reality + Artificial Intelligence
Hi,
Hi,
I'm Erdem
Computer Science PhD candidate
VR and AI research and development
I build and study interactive virtual reality experiences, with a focus on user experience, system behavior, and practical research applications.
About
I am a Ph.D. candidate in Computer Science at George Mason University working across generative AI, virtual reality, simulation and prototyping, user experience, and predictive modeling. My work combines immersive systems research with practical development for training, playtesting, and interactive analysis.
I am advised by Prof. Craig (Lap-Fai) Yu in the Design Computing and eXtended Reality (DCXR) group at George Mason University.
Education
My research centers on virtual reality, artifical intelligence, and user experience.
Research
A selection of research work in virtual reality, immersive learning, and user experience.
HieraVisVR: Hierarchical Visual Analytics for Motion-Centric VR Playtesting
An ACM CHI 2026 paper on visual analytics for VR playtesting, with Erdem Murat as presenting author.
Predicting Users' Difficulty Perception in a VR Platformer Game
A poster presented at ACM MIG 2024 on predicting how users perceive difficulty in a VR platformer game.
Understanding Online Education in Metaverse: Systems and User Experience Perspectives
A systems-focused study of immersive online learning using Mozilla Hubs, custom instrumentation, and analysis of both user and platform behavior.
Machine Learning Automation for Virtual Reality
Thesis work exploring procedural design, user studies, and data-driven approaches for improving VR experiences.
What's New
The latest updates, presentations, and milestones from my recent work.