I’m a first-year Computer Science Ph.D. student at New York University (NYU), advised by Dr. Qi Sun. My research interests center on improving immersive experiences in 3-D and AR/VR applications, with a focus on accelerating and enhancing graphics systems using machine learning techniques. I am particularly interested in studying and exploiting human perception through cognitive, perceptual, and vision sciences to enhance the experience and draw inspiration from.
I am also interested in using HCI strategies for AR/VR 3-D displays, focusing on how users navigate and react within virtual spaces, investigating unique behavioral quirks to enhance immersion and interaction in these environments.
I achieved my B.S. in Computer Science at the Georgia Institute of Technology in 2024, where I was advised by Dr. Thad Starner.
Towards Improving Real-Time Head-Worn Display Caption Mediated Conversations with Speaker Feedback for Hearing Conversation Partners
Jenna Kang, Emily Layton, David Martin, Thad Starner
CHI Late-Breaking CHI 2024.
[paper]
Understanding Graphical Perception in Data Visualization through Vision-Language Models
Jenna Kang, Grace Guo, Raj Sanjay Shah, Hanspeter Pfister, Sashank Varma
NeurIPS Behavioral ML Workshop NeurIPS 2024.
[paper]
Evaluating Visual Perception of Object Motion in Dynamic Environments
Budmonde Duinkharjav, Jenna Kang, Gavin S.P. Miller, Chang Xiao, Qi Sun
SIGGRAPH ASIA Journal Paper SIGGRAPH ASIA 2024.
[paper]
Stepping into AR: Exploring Optimal Positioning for Monocular Head-Worn Displays for Reading on the Go
Priyanka V Mosur, Ethan I Kimmel, Parth Arora, Rajandeep Singh, Jenna Kang, Atharva R Madiwale, Thad Starner
UbiComp/ISWC Workshop UbiComp/ISWC 2024.
[paper]