Explore a keynote address from the UMAP 2020 conference that delves into the fascinating world of eye-tracking technology and its implications for AI-driven personalized interaction. Discover how Dr. Cristina Conati's research leverages eye-tracking data to predict user states and traits, including cognitive skills and affective states. Learn about applications in user-adaptive visualizations, intelligent tutoring systems, and health. Gain insights into the effectiveness of gaze-driven adaptation, the impact of user cognitive abilities on personalization, and the potential of eye-tracking data for predicting user confusion and abilities. Understand the exciting research questions surrounding this technology and its potential to revolutionize human-computer interaction through personalized experiences.