11/05(四)10:00 Human-Centered AI in Games: Content Generation, Player Modeling, and Support 歡迎大家踴躍參與
- Published on
- Author
- 邱津雷
若有疑問，請聯繫公告聯絡人:
柯月卿(Cindy Ko)
國立陽明交通大學 資訊工程學系 計畫助理
300093 新竹市大學路1001號 工程三館511室
☎️ 03-5731603 📧 cindyko@nycu.edu.tw
-----------------------------------------------------------------------------------
吳毅成教授邀請來自Japan Advanced Institute of Science and Technology (JAIST)的學者Dr. Chu-Hsuan Hsueh分享她的研究，
歡迎各位老師們及實驗室的學生抽空前往蒞臨參加！
時間：115.11.05(四) 10:00-12:00
地點：工程三館 411室
演講者：Dr. Chu-Hsuan Hsueh（Senior Lecturer, Japan Advanced Institute of Science and Technology (JAIST), Japan）
演講題目： Human-Centered AI in Games: Content Generation, Player Modeling, and Support
演講摘要：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.
演講者：Dr. Chu-Hsuan Hsueh（Senior Lecturer, Japan Advanced Institute of Science and Technology (JAIST), Japan）
演講題目： Human-Centered AI in Games: Content Generation, Player Modeling, and Support
演講摘要：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.