Hi, I am Jingying Wang, a Ph.D. candidate from the Computer Science and Engineering department of the University of Michigan. I am co-advised by Prof. Xu Wang from the UM CSE, and Vitaliy Popov from UM Medicine.
My research lies at the intersection of Human-Computer Interaction (HCI) and medical education. I develop human-ai system for externalizing surgical expertise including perceptual cognitive skill, psychomotor skill, and attentional skill. My projects includes systems include multimodal sensing in OR, XR and computer vision, and interactive learning.
Started my summer internship at Sony CSL Kyoto, mentored by Jun Rekimoto, working on CueOnGaze.
Honored to be selected to receive the Barbour Scholarship! Article ↗
Excited to kick off our new project, supported by the NSF award SCH: Multimodal Techniques to Enhance Intra- and Post-operative Learning and Coordination between Attending and Resident Surgeons, advised by Xu Wang, Vitaliy Popov, and Anhong Guo!
Our paper “Looking Together ≠ Seeing the Same Thing: Understanding Surgeons' Visual Needs During Intra-operative Coordination and Instruction” got an honorable mention award in CHI2024
More
Paper in submission
A gaze-guided learning system that compares a trainee’s actions and visual attention with an expert’s recorded action–attention template. When gaze is misaligned with the next task, the system provides audio and visual cues to guide attention to the relevant object.
Mentored by Jun Rekimoto.
Jingying Wang, Rosiana Natalie, Keyuan Hu, Wenqian Xu, Brian George, Vitaliy Popov, Anhong Guo, Xu Wang
Jingying Wang, Rosiana Natalie, Marquise D Singleterry, Filippos Bellos, Brian George, Gurjit Sandhu, Jason J Corso, Anhong Guo, Vitaliy Popov, Xu Wang
ACM CHI Conference on Human Factors in Computing Systems (CHI 2024)
Xinyue Chen*, Vitaliy Popov*, Jingying Wang, Michael Kemp, Gurjit Sandhu, Taylor Kantor, Natalie Mateju, and Xu Wang
ACM International Conference on Multimedia (ACM Multimedia 2023)
Ye Pan, Ruisi Zhang, Jingying Wang, Yu Ding, and Kenny Mitchell
