Abstract
The past few decades have seen the development of wonderful new computing technology that serves as sensors onto an inaccessible world for disabled people – as examples, optical character recognition (OCR) makes printed text available to blind people, speech recognition makes spoken language available to deaf people, and way-finding systems help keep people with cognitive impairments on track. Despite advances, this intelligent technology remains both too prone to errors and too limited in the scope of problems it can reliably solve to address the problems faced by disabled people in their everyday lives. In this talk, I’ll (i) discuss the potential for always-available human computation to fill in remaining gaps in order to make intelligent user interfaces useful and practical in the everyday lives of disabled people, (ii) show several examples of how my research is combining artificial and human intelligence, and (ii) discuss the potential of this approach to more broadly shape the intelligent user interfaces for all in the future.
Biography
Jeffrey P. Bigham is an Assistant Professor in the Department of Computer Science at the University of Rochester where he heads the ROC HCI Group. His works spans HCI, Access Technology, and Human Computation. Jeffrey received his Ph.D. in 2009 in Computer Science and Engineering from the University of Washington, and has won the Microsoft Imagine Cup Accessible Technology Award, the Andrew W. Mellon Foundation Award for Technology Collaboration, and the Technology Review Top 35 Innovators Under 35 Award. He’s also been known to play a mean game of kickball.