Jingyu Shi

Jingyu Shi

I am a Ph.D. student in Electrical and Computer Engineering from Purdue University, under the supervision of Prof. Karthik Ramani. I obtained my M.S. degree in ECE in Georgia Institute of Technology, working with Prof. Patricio Vela. Prior to that, I studied Instrument Science and Technology in Beihang University and became a B.Eng. My research interests lie in human-AI interaction and its applications across various platforms including Augmented Reality, Mixed Reality, Robots, etc. Currently, I am studying the causal effects of exogenous variables in the human-AI decision making process.
avaTTAR: Table Tennis Stroke Training with On-body and Detached Visualization in Augmented Reality

avaTTAR: Table Tennis Stroke Training with On-body and Detached Visualization in Augmented Reality

Dizhi Ma*, Xiyun Hu*, Jingyu Shi, Mayank Patel, Rahul Jain, Ziyi Liu, Zhengzhe Zhu, Karthik Ramani
In The 37th Annual ACM Symposium on User Interface Software and Technology (UIST ’24)

Table tennis stroke training is a critical aspect of player development. We designed a new augmented reality (AR) system, avaTTAR, for table tennis stroke training. The system provides both "on-body" (first-person view) and "detached" (third-person...

An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions

An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions

Jingyu Shi*, Rahul Jain*, Hyungjun Doh, Ryo Suzuki, Karthik Ramani
Submitted to ACM Computing Surveys

Generative AI (GenAI) has shown remarkable capabilities in generating diverse and realistic content across different formats like images, videos, and text. In Generative AI, human involvement is essential, thus HCI literature has investigated how...

Ubi-TOUCH: Ubiquitous Tangible Object Utilization through Consistent Hand-object interaction in Augmented Reality

Ubi-TOUCH: Ubiquitous Tangible Object Utilization through Consistent Hand-object interaction in Augmented Reality

Rahul Jain*, Jingyu Shi*, Runlin Duan, Zhengzhe Zhu, Xun Qian, Karthik Ramani
In Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology (UIST 2023)

Utilizing everyday objects as tangible proxies for Augmented Reality (AR) provides users with haptic feedback while interacting with virtual objects. Yet, existing methods focus on the attributes of the objects, constraining the possible proxies...