IoT & DSA Joint Seminar | Computational Representations for User Interfaces
Supporting the below United Nations Sustainable Development Goals:支持以下聯合國可持續發展目標：支持以下联合国可持续发展目标：
Traditional “one-size-fits-all” user interfaces (UIs) often fail to provide the necessary adaptability, leading to challenges in accommodating varying contexts and enhancing user capabilities. This talk explores my research on developing intelligent UIs that bridge the gap between static design and dynamic user engagement. My research focuses on facilitating the creation of intelligent UIs that support two key areas: assisting designers in building adaptive systems and capturing user behaviors to enable automatic interface adaptation. In this talk, I will focus on how to develop computational representations that embed domain-specific knowledge into AI models, providing intelligent suggestions while ensuring that designers maintain control over the design process. Additionally, I will discuss how to develop neural models that simulate and predict user behaviors, such as eye tracking on UIs, aligning interactions with users' unique abilities and preferences.
Yue Jiang is a final-year Ph.D. student supervised by Prof. Antti Oulasvirta at Aalto University and the Finnish Center for AI in Finland. She earned her Master’s degree in Computer Graphics from the University of Maryland and her Bachelor’s degree in Computer Science and Mathematics from the University of Toronto. Her research focuses on computational user interface understanding, with specific interests in generating adaptive UIs for different users and contexts, AI-assisted design, and modeling human behavior. She has published in top venues in Human-Computer Interaction and Computer Vision, such as CHI, UIST, CVPR, and ECCV. She initiated and served as the main co-organizer of four Computational UI workshops at CHI 2022, CHI 2023, CHI 2024, and CHI 2025, and co-organized the Mobile Eye-based Interaction Workshop at ETRA 2023. Additionally, she was the accessibility co-chair for CHI 2023 and CHI 2024 and served as an associate chair at CHI 2025, as well as on the jury for the CHI 2023 Workshop Track and the ASSETS 2024 Experience Reports Track. She has been awarded the Meta PhD Fellowship, a Google Europe Scholarship, and Nokia Scholarship, and selected as a Heidelberg Laureate Forum Young Researcher and UCSD EECS Rising Star. More information can be found on her website: https://yuejiang-nj.github.io/.