GL2: Game Intelligence Group (GIG)
Lead: G. Michael Youngblood, Ph.D.Team: Hunter Hale (Ph.D. Student), Priyesh Dixit (MS Student), Jonathan Roes (Undergraduate)
About Us:
Our research focuses on the fundamentals of learning, measuring, and understanding human-player experience and interaction in games. We build tools that provide information artifacts for use by advanced intelligent agents (bots), improve the game design & development process, and analyze the player performance and interactions to profile, model, and compare. Research in understanding human behavior in games helps us to explore and develop human-consistent, advanced interactive artificial intelligence that deepens the user immersion and improves interaction. We also explore ways to simplify the AI agent creation process for 3D games to bring new and creative opportunities to the masses. Our work truly incorporates all areas of computer science with an emphasis on AI, ML, KD, and HCI. Our research products include the Common Games Understanding & Learning (CGUL) Toolkit, the Urban Combat Testbed (UCT), and Dynamic Adaptive Super-Scalable Intelligent Entities (DASSIEs).
Projects:
| CGUL | The Common Games Understanding and Learning Toolkit |
| DASSIEs | Dynamic Adaptable Super-Scalable Intelligent Entities |
| SPECTRE | |
| Game Segments |
Games:
| UCT | Urban Combat Testbed |
| Skookum | Skookum Game (alpha) |
Videos:
| CGUL: PlayerViz | Understanding Agent Behaviors in Game Environments (156 MB, MOV) |
| CGUL: DEACCON | Automatically Generated Convex Regions for Agent Navigation in Virtual Worlds (246 MB, MOV) |
Copyright 2007-8 Game Intelligence Group @ UNCC. All Rights Reserved.