Ph.D. Candidate in Computer Science @ University of Maryland, College Park
I am interested in understanding human interactions with computer systems and transferring the interactions into inclusive designs of such systems. In particular, enabling AI to understand human's intentions through interactions, I design and develop intelligent systems to augment users' experiences and capabilities.
Kyungjun Lee is a 5th-year Ph.D. candidate in Computer Science at the University of Maryland, College Park, and a member of Human-Computer Interaction Lab and Intelligent Assistant Machines Lab, advised by Hernisa Kacorri. Kyungjun has been exploring human intersections with AI, AR, and wearable cameras to design a system that can understand the user's intent. His Ph.D. dissertation is to design intelligent camera systems to help blind people access their visual surroundings. He has also worked in the HCI group at Snap Research and collaborated with Cognitive Assistance Lab at Carnegie Mellon University.
Accessing Passersby Proxemic Signals through a Head-Worn Camera: Opportunities and Limitations for the Blind
Kyungjun Lee, Daisuke Sato, Saki Asakawa, Chieko Asakawa, Hernisa Kacorri
To appear in Proceedings of ACM ACM SIGACCESS Conference on Computers and Accessibility (ASSETS), 2021
Exploring Machine Teaching for Object Recognition with the Crowd
Jonggi Hong, Kyungjun Lee, June Xu, Hernisa Kacorri
Extended Abstracts of ACM CHI Conference on Human Factors in Computing Systems (CHI), 2019
© 2021 Kyungjun Lee