Human-Centered AI in Games: Content Generation, Player Modeling, and Support
- 講者薛筑軒 教授 (Japan Advanced Institute of Science and Technology (JAIST))
邀請人：吳廸融 - 時間2026-11-04 (Wed.) 10:00 ~ 12:00
- 地點資訊所新館106演講廳
摘要
Recent advances in artificial intelligence (AI) have enabled game AI systems to achieve superhuman performance in many domains. However, strength alone does not necessarily lead to better experiences for human players. Human-centered game AI considers how AI can understand, adapt to, and support people, as well as how it can generate game content that appears natural and engaging to them. In this talk, I will introduce selected studies from our recent research on game AI, covering topics such as human-like behavior, player support, and procedural content generation. Through examples from board games and digital games, I will discuss how AI techniques can be used not only to play games effectively, but also to create game experiences that better reflect human abilities, preferences, and expectations.
BIO
Chu-Hsuan Hsueh received the B.S. and Ph.D. degrees in computer science and engineering from National Chiao Tung University, Hsinchu, Taiwan, in 2014 and 2019, respectively. From 2019 to 2024, she was an Assistant Professor with the School of Information Science, Japan Advanced Institute of Science and Technology (JAIST), Nomi, Japan. Since 2024, she has been a Senior Lecturer with the same school. Her research interests include artificial intelligence for games, Monte Carlo tree search, reinforcement learning, stochastic games, and procedural content generation. Dr. Hsueh was one of the Program Co-Chairs of the 18th and 19th International Conference on Advances in Computer Games and the 12th International Conference on Computers and Games.