Tuesday, April 24, 2018
We live in a world increasingly dependent on the Internet for information retrieval, social interactionÌýand general leisure. A growing number of Internet users with cognitive or visual impairments need assistive technology to make information accessible to them, but visually complex webÌýpages can be difficult to navigate for assistive technology.
It’s novel insight into this problem that earned Michael Cormier, a PhD student in the David R. Cheriton School of Computer Science, the 2018ÌýMurray Martin Prize for Best Research Paper by a Math Grad Student. His winning paperÌý","Ìýco-authored with supervisor Dr. Robin Cohen, is published in aÌýÌýin the journalÌýComputer Vision an Image Understanding.