معرفی
Junhan Kong is a 5th-year Ph.D. candidate in the Information School at the University of Washington, advised by Prof. Jacob O. Wobbrock. She holds roles as a Pre-doctoral Instructor and has served as a Teaching Assistant across multiple courses at UW and CMU. Her research focuses on human-computer interaction and accessibility, particularly in enabling technologies to adapt to user abilities through quantitative analysis of input behavior and sensor data. She has interned at Adobe Research and Meta Reality Labs, contributing to projects like the Ability-Based Design Toolkit (ABD-MT), which won the MobileHCI 2024 Best Paper Award.
Junhan's educational background includes dual Bachelor's and Master's degrees in Computer Science from Carnegie Mellon University, with minors in Statistics and Machine Learning. Her work integrates human ability characterization, mixed-initiative interface adaptations, and accessible gesture systems for users with motor disabilities. She has also explored AR applications to support older adults and complex UI users.
Her teaching contributions include instructing UW's Special Topics in Accessibility course and coordinating the UW DUB Doctoral Colloquium. She actively reviews for top conferences like CHI, UIST, and ASSETS, and has received Special Recognition for her reviews.
Junhan's research has been recognized with awards including the MobileHCI Best Paper Award (2024) and an Adobe Intern Expo award (2023). Her work emphasizes practical developer tools and user-centric design principles to bridge gaps in accessible technology.
