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[公告] 【04/16(二)】To support Human-AI Collaboration |
發佈日期:2024/04/08 | 資料來源:國立中央大學材料科學與工程研究所 |
歡迎參加演講~ To support Human-AI Collaboration
Abstract: At the Human-AI Interaction group at the University of British Columbia, we investigate how to support Human-AI collaboration via AI artifacts that can understand relevant properties of their users (e.g., states, skills, needs) and personalize the interaction accordingly in a manner that preserves transparency, user control and trust. In this talk, I will illustrate examples of our research in AI-drive personalization spanning areas such as User Adaptive Visualizations, Intelligent Tutoring Systems and Personalized Explainable AI. Bio: Dr. Conati is a Professor of Computer Science at the University of British Columbia, Vancouver, Canada. She received a M.Sc. in Computer Science at the University of Milan, as well as a M.Sc. and Ph.D. in Intelligent Systems at the University of Pittsburgh. Cristina has been researching human-centered and AI-driven personalization for over 25 years, with contributions in the areas of Intelligent Tutoring Systems, User Modeling, Affective Computing, Information Visualization and Explainable AI. Cristina's research has received 10 Best Paper Awards from a variety of venues, as well as the Test of Time Time Award 2022 from the educational data mining society. She is a Fellow of AAAI (Association for the Advancement of AI) , an ACM Distinguished Member, and an associate editor for UMUAI (Journal od User Modeling and User Adapted Interaction), ACM Transactions on Intelligent Interactive Systems and the Journal of Artificial Intelligence in Education. She served as President of AAAC, (Association for the Advancement of Affective Computing), as well as Program or Conference Chair for several international conferences, including UMAP, ACM IUI, and AI in Education. 詳情請見下方活動網址: 活動網址 |