I design, develop, and deploy hybrid crowd-AI interactive systems to provide access to visual information in the real world. I apply this approach to two application domains: Accessibility and Internet of Things. My other interests include interaction techniques, fabrication, and sensing.
Anhong Guo is a 5th year Ph.D. student in Human-Computer Interaction Institute, Carnegie Mellon University, advised by Dr. Jeffrey Bigham. He is also a Snap Inc. Research Fellow. Anhong has published in several top academic conferences (CHI, UIST, DIS, CVPR) and journals (IMWUT, 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 HCI group of Snap Research, the Accessibility Engineering team at Google, the Intelligent User Experiences group in Microsoft Research, and the Mobile Innovation Center of SAP America.