Jaewook Lee

Jaewook Lee

PhD Student, Computer Science

University of Washington

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Jaewook Lee is currently a PhD Student in the Makeability Lab. Jaewook has been in the lab for 2.7 years and contributed to 5 projects, including CookAR, EARLL: Embodied AR Language Learning, RASSAR, as well as 9 publications. During their time in the lab, Jaewook mentored 25 Makeability Lab students, including Jasmine Zhang, Amy S. Lee, and Jun Wang.

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Recent Projects

An example CookAR assistive vision overlay showing the graspable handle of the knife, the hazardous blade, and the intersection area with the target object

CookAR

2023 – Present

This is the thumbnail image for the project EARLL: Embodied AR Language Learning

EARLL: Embodied AR Language Learning

2023 – Present

This is the thumbnail image for the project RASSAR

RASSAR

2022 – Present

Tennis ball is covered by a red dot and surrounded by four green arrows forming a crosshair.

ARTennis

2023 – Present

Recent Papers

Towards AI-Powered AR for Enhancing Sports Playability for People with Low Vision: An Exploration of ARSports

IDEATExR 2024 | Best Paper Award

Jaewook Lee, Yang Li, Dylan Bunarto, Eujean Lee, Jaden Wang, Adrian Rodriguez, Yuhang Zhao, Yapeng Tian, Jon E. Froehlich

PDF | doi | Citation

CookAR: Affordance Augmentations in Wearable AR to Support Kitchen Tool Interactions for People with Low Vision

UIST 2024 | Best Paper Award

Jaewook Lee, Andrew D. Tjahjadi, Jiho Kim, Junpu Yu, Minji Park, Jon E. Froehlich, Yapeng Tian, Yuhang Zhao

PDF | doi | Citation | Talk | CookAR

Embodied AR Language Learning Through Everyday Object Interactions: A Demonstration of EARLL

UIST 2024

Jaewook Lee, Sieun Kim, Minji Park, Catherine Rasgaitis, Jon E. Froehlich

PDF | doi | Citation | EARLL: Embodied AR Language Learning

Videos

Towards AI-Powered AR for Enhancing Sports Playability for People with Low Vision: An Exploration of ARSports

YouTube | Paper

Talks

CookAR: Affordance Augmentations in Wearable AR to Support Kitchen Tool Interactions for People with Low Vision

Oct. 13, 2024 | UIST

Pittsburgh, PA

PDF | PPTX Paper | CookAR

GazePointAR: A Context-Aware Multimodal Voice Assistant for Pronoun Disambiguation in Wearable Augmented Reality

May 15, 2024 | CHI

Honolulu, Hawaiʻi

PDF | PPTX | GazePointAR

We design, build, and evaluate new interactive tools and techniques to address pressing societal challenges. Makeability refers both to how our technological innovations make new abilities possible for humans as well as our educational mission to help students gain new abilities as they learn and grow through research, invention, and human-centered design.