Personalization for Human-AI Collaboration

Cristina Conati (University of British Columbia)

October 3rd, 2023 | 17:00
Aula Alte Technik
Rechbauerstraße 12, 8010 Graz
Talk is held in English.


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 Intelligent Tutoring Systems, User Adaptive Visualizations, 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 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.

Supported by
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Büro für Gleichstellung und Frauenförderung
Digital University Hub
WomenUniverse
Contact
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Anika Kalcher
CSBME - Markting, PR
Graz University of Technology

Email: marketing.csbme@tugraz.at
Phone: ++ 43 873 4055

 

Marlene Goritschan
CSBME - Markting, PR
Graz University of Technology

Email: marketing.csbme@tugraz.at
Phone: ++ 43 873 4053

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