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A colloquium talk where Yue Jiang from Aalto University discusses developing intelligent user interfaces that adapt to different contexts and user needs. Learn about computational representations that embed domain-specific knowledge into AI models to provide intelligent design suggestions while maintaining designer control. Discover how neural models can simulate and predict user behaviors, such as gaze movement on interfaces, to better align with users' unique abilities and preferences. Jiang, a final-year PhD student supervised by Prof. Antti Oulasvirta, has published in top venues including CHI, UIST, and CVPR, and has received prestigious recognitions including the Meta Research PhD Fellowship and Google Europe Scholarship for Students with Disabilities. Her research addresses the limitations of "one-size-fits-all" interfaces by creating adaptive systems that bridge the gap between static design and dynamic user engagement.
