Xiaojun Bi

Biography

Xiaojun Bi received his Ph.D. from the Computer Science Department at University of Toronto in 2011.

Research Interest

Xiaojun Bi research lies in the general area of Human Computer Interaction, with a primary focus on building interactive systems, designing interaction techniques, and studying fundamental issues of user interface design on mobile devices. One of his main research directions is improving text entry in mobile computing. He has contributed a number of innovations in this area, including bimanual gesture typing, optimizing the keyboard decoding algorithm for both correction and completion abilities, optimizing keyboard layouts, personalizing language models, and building automatic keyboard evaluation systems. His other main research is in the design of new interactive systems and input techniques with emerging input modalities. Some major projects include Magic Desk (a desktop computing environment enhanced with multi-touch capabilities), Gather Reader (an e-reader with pen and multi-touch input), WallTop (a multi-window based, large display window management system prototype), and pen rolling & tilting interaction techniques. Establishing robust laws and regularities is fundamental to a research field. This is increasingly important in HCI as new input modalities are emerging. His research in this area includes deriving the Finger-Fitts Law (i.e., FFitts Law) to specify the speed-accuracy tradeoff of touch input, and deriving the Bayesian Touch Criterion as a principled approach of ranking target likelihood in target acquisition tasks.