Do Rating Systems in Games Alienate Players?
Are In-Game Rating Systems truly cursed by design and causes alienation inevitably?
Summary
Yu-Chao (Curtis) Wang is a Ph.D. student in Technology at Purdue Polytechnic Institute, specializing in the intersection of Computer Graphics and Artificial Intelligence. Building upon his B.S. and M.S. degrees from Purdue University, his research focuses on integrating generative AI into creative workflows. He actively develops “Human-in-the-Loop” systems to facilitate collaboration between artists and AI, while also exploring AI applications for dynamic scriptwriting and narrative generation in game development. Transitioning from a background in visual effects and procedural content generation, his current work aims to advance interactive storytelling and enhance artistic intuition through artificial intelligence.
Education
Ph.D. in Technology
Aug 2024 – May 2029Purdue University
M.Sc. in Computer Graphics Technology
Aug 2022 – May 2024Purdue University
B.Sc. in Computer Graphics Technology
Aug 2017 – May 2021Purdue University
Research Interests
Human-in-the-Loop AI in Art
AI-Driven Game Scripting
Procedural Content Generation
Visual Effects
Thoughts & Research
As I continue my research and academic journey, I’m excited to connect with others who share an interest in graphics, technology, and the future of creative systems. Let’s collaborate, brainstorm, or just geek out over the latest advancements in the field!
Research Areas
Exploring the intersection of AI, Graphics, and Creative Systems
Active
Human-in-the-Loop AI in Art
Designing and evaluating interactive systems that seamlessly integrate artificial intelligence into artistic workflows. This research focuses on maintaining human agency and creative control while leveraging generative models as collaborative tools.
Generative AI
Creative Workflows
Human-Computer Interaction
Planning
AI-Driven Game Scripting
Investigating the application of large language models and logic-based AI to generate dynamic, context-aware narratives and character dialogues in real-time, thereby fostering adaptive storytelling and replayability in game environments.
Narrative AI
Interactive Fiction
Dynamic Storytelling
Emerging
Procedural Content Generation
Researching advanced algorithmic methodologies for the automated synthesis of game assets, terrains, and level layouts. The objective is to establish robust pipelines that maximize variety and scalability while strictly adhering to specified artistic constraints.
Algorithmic Design
Environment Synthesis
Rule-based Systems
Inactive
Visual Effects
Developing sophisticated real-time visual effect pipelines for interactive media. This involves the optimization of particle systems, advanced shader programming, and post-processing techniques to render high-fidelity environmental and atmospheric phenomena.
Real-time Rendering
Shader Programming
Particle Systems
Inactive
Computer-Aided Animation
Exploring computational techniques to assist and automate complex animation tasks. This research encompasses physics-based simulation, motion capture data processing, and machine learning-driven rigging to produce fluid, realistic character and mechanical movements.
Motion Synthesis
Rigging Automation
Physics-based Simulation
Inactive
Hard Surface Modeling
Focusing on the topological optimization and procedural generation of complex mechanical and architectural models. The research targets the improvement of Boolean workflows, edge flow management, and non-destructive modeling techniques for high-precision asset creation.
Topology Optimization
CAD Workflows
Non-destructive Modeling
Recent Blogposts
Get in Touch
Interested in Collaborating?
Location
Knoy (Maurice G.) Hall of Technology
Room 373
401 Grant St
West Lafayette, IN 47907
Connect
Open for Collaboration
I'm always open to discussing new research ideas, creative projects, or potential collaborations. Feel free to reach out via email or connect with me on social media.