Junhan "Judy" Kong is a final-year Ph.D. candidate in the Information School at the University of Washington, advised by Prof. Jacob O. Wobbrock. Prior to that, she received her Bachelor's and Master's degrees in Computer Science with an additional major in Human-Computer Interaction and minors in Statistics and Machine Learning at Carnegie Mellon University, where she worked with Prof. Jeffrey P. Bigham and Prof. Anhong Guo. She has also worked at Adobe Research and Meta Reality Labs as a research scientist intern.

Her research is in human-computer interaction (HCI) with a focus on accessibility, interaction techniques, adaptive interfaces, AR/VR, and human-centered AI. Her work has been published at top-tier conferences including CHI, UIST, ASSETS, MobileHCI, and SUI, and has received the Best Paper Award from MobileHCI and a Best Paper Nomination from ASSETS.

Her research is guided by a vision of computing systems that recognize and serve human diversity: technologies that understand and adapt to the varying situated abilities of their users, and infrastructures that empower designers and developers to create accessible and personalized interfaces.

Junhan Kong is on the academic job market. She is seeking tenure-track assistant professor positions in computer science, information science, and related fields, beginning in Fall 2027.

Publications

Ability Heuristics for Conducting Accessibility Inspections

Claire L. Mitchell, Junhan Kong, Jesse J. Martinez, Shaun K. Kane, Amy J. Ko, Alexis Hiniker, Jacob O. Wobbrock

CHI 2026

PDF | ACM DL

Touchscreens in Motion: Quantifying the Impact of Cognitive Load on Distracted Drivers

Xiyuan Shen*, Seokhyun Hwang*, Junhan Kong, Alexandre L. S. Filipowicz, Andrew Best, Jean M. Costa, Scott Carter, James Fogarty, Jacob O. Wobbrock

UIST 2025

PDF | ACM DL | Video | UW News | KIRO Newsradio

Supporting Mobile Reading While Walking with Automatic and Customized Font Size Adaptations

Junhan Kong, Jacob O. Wobbrock, Tianyuan Cai, Zoya Bylinskii

CHI 2025

PDF | ACM DL | Video

The Ability-Based Design Mobile Toolkit (ABD-MT): Developer Support for Runtime Interface Adaptation Based on Users' Abilities

Junhan Kong, Mingyuan Zhong, James Fogarty, Jacob O. Wobbrock

MobileHCI 2024   Best Paper Award

PDF | ACM DL | Poster | Video

Personalized Gesture Classification for Encouraging Non-Sedentary Behavior During Technology Use in People with Motor Disabilities

Momona Yamagami, Alexandra A. Portnova-Fahreeva, Claire L. Mitchell, Junhan Kong, Jacob O. Wobbrock

EMBC 2024 Poster

PDF | Poster

Improving Mobile Reading Experiences While Walking Through Automatic Adaptations and Prompted Customization

Junhan Kong, Tianyuan Cai, Zoya Bylinskii

UIST 2023 Poster

PDF | ACM DL | Poster

How Do People with Limited Movement Personalize Upper-Body Gestures? Considerations for the Design of Personalized and Accessible Gesture Interfaces

Momona Yamagami, Alexandra A. Portnova-Fahreeva, Junhan Kong, Jacob O. Wobbrock, Jennifer Mankoff

ASSETS 2023

PDF | ACM DL | Video

Quantifying Touch: New Metrics for Characterizing What Happens During a Touch

Junhan Kong, Mingyuan Zhong, James Fogarty, Jacob O. Wobbrock

ASSETS 2022   Best Paper Nominee

PDF | ACM DL | Video

TutorialLens: Authoring Interactive Augmented Reality Tutorials Through Narration and Demonstration

Junhan Kong, Dena Sabha, Jeffrey P. Bigham, Amy Pavel, Anhong Guo

SUI 2021

PDF | ACM DL | Video

New Metrics for Understanding Touch by People with and without Limited Fine Motor Function

Junhan Kong, Mingyuan Zhong, James Fogarty, Jacob O. Wobbrock

ASSETS 2021 Poster

PDF | ACM DL | Video

Supporting Older Adults in Using Complex User Interfaces with Augmented Reality

Junhan Kong, Anhong Guo, Jeffrey P. Bigham

ASSETS 2019 Demo

PDF | ACM DL | Poster

StateLens: A reverse engineering solution for making existing dynamic touchscreens accessible

Anhong Guo, Junhan Kong, Michael Rivera, Frank F. Xu, Jeffrey P. Bigham

UIST 2019

PDF | ACM DL | Video | Live Talk