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, Sashank Varma
NeurIPS Behavioral ML Workshop NeurIPS 2024.
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]