My research investigates cognitive computing support so that blind people can effectively navigate and access information and interfaces in their daily lives. The general approach for achieving this is to deeply integrate wearable computing, on-demand crowdsourcing, and computer vision. My other interests include interaction techniques, sensing technologies, and Internet of Things.
Anhong Guo is a fourth year Ph.D. student in Human-Computer Interaction Institute, Carnegie Mellon University, advised by Dr. Jeffrey Bigham. Anhong has published in several top academic conferences (CHI, UIST, DIS, IUI) and journals (IEEE Computer, TiiS), and has received best paper nominations in top conferences of mobile interaction (MobileHCI 2016) and wearable computing (ISWC 2014). Before CMU, he received his Master’s in HCI from Georgia Tech, and Bachelor's in Electronic Information Engineering from BUPT. He has also worked in the Accessibility Engineering team at Google, the Intelligent User Experiences group in Microsoft Research, and the Mobile Innovation Center of SAP America.