Personalization for Human-AI Collaboration
Art
Themenbereich
- Advanced Materials Science (Field of Expertise)
- Human & Biotechnology (Field of Expertise)
- Information Communication & Computing (Field of Expertise)
- Mobility & Production (Field of Expertise)
- Sustainable Systems (Field of Expertise)
- Andere Forschungsthemen
- Alumni
- Career
- Kultur
- Lehre/Studium
- Universität
- Sonstige
In this talk, computer scientist Christina Conati from the Human-AI Interaction group at the University of British Columbia will illustrate examples of research in AI-driven personalisation, spanning areas such as intelligent tutoring systems, user-adaptive visualisations, and personalised explainable AI.The Human-AI Interaction group at the University of British Columbia investigates how to support human-AI collaboration through AI artefacts that can understand relevant properties of their users (e.g., states, skills, needs) and personalise the interaction accordingly, in a way that preserves transparency, user control, and trust.
Biography
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 an ACM Distinguished Member and AAAI Senior 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.
Veranstaltet von
TU Graz | Dekanat der Fakultät für Informatik und Biomedizinische Technik (CSBME)
