Eunkyung Jo, PhD
Eunkyung Jo (조은경)
Assistant Professor
Dept. of CSE/GSAI
POSTECH
South Korea
I am an Assistant Professor in the Department of Computer Science and Engineering and the Graduate School of Artificial Intelligence at POSTECH.
I'm starting a new research group named Health and Human-Computer Interaction (H2CI) Lab and recruiting graduate students for Spring 2026. More details coming soon!
As a human-computer interaction (HCI), computer-supported cooperative work (CSCW), and Health researcher, I examine how health monitoring technology can better account for infrastructural complexity of clinical and public health care. My research approach encompasses understanding how stakeholders use existing health monitoring tools through interviews, surveys, and log analysis; developing prototypes to explore novel design ideas; and evaluating these designs through real-world field deployments.My work has been recognized with a Best Paper Award at CHI 2023, the Gold Medal in the Student Research Competition at ASSETS 2017, and the Google PhD Fellowship (2023-2025). My research has also been featured in the LA Times, Kaiser Family Foundation Health News, and Digital Chosun.I received my PhD in Informatics at the University of California, Irvine (Advised by Daniel A. Epstein). I completed MS in Computer Graphics Technology (Advised by Austin Toombs) at Purdue University, BA in Information Science & Culture, and BA in Consumer and Child Studies at Seoul National University.I have worked as a research intern with Young-Ho Kim at NAVER AI Lab and as a researcher at the National Center for Mental Health in South Korea with Hwajung Hong.
Selected Publications
Understanding Public Agencies' Expectations and Realities of AI-Driven Chatbots for Public Health Monitoring
Eunkyung Jo, Young-Ho Kim, Sang-Houn Ok, Daniel A. Epstein
CHI 2025 DOI PDF
Exploring Patient-Generated Annotations to Digital Clinical Symptom Measures for Patient-Centered Communication
Eunkyung Jo, Rachael Zehrung, Katherine E. Genuario, Alexandra Papoutsaki, Daniel A. Epstein
PACM Human-Computer Interaction 8 (CSCW2), 2024 DOI PDF
Understanding the Impact of Long-Term Memory on Self-Disclosure with Large Language Model-Driven Chatbots for Public Health Intervention
Eunkyung Jo, Yuin Jeong, SoHyun Park, Daniel A. Epstein, Young-Ho Kim
CHI 2024 DOI PDF
Exploring User Perspectives of and Ethical Experiences With Teletherapy Apps: Qualitative Analysis of User Reviews
Eunkyung Jo, Whitney-Jocelyn Kouaho, Stephen M. Schueller, Daniel A. Epstein
JMIR Mental Health, Vol 10, 2023 DOI PDF
Understanding the Benefits and Challenges of Deploying Conversational AI Leveraging Large Language Models for Public Health Intervention
Eunkyung Jo, Daniel A. Epstein, Hyunhoon Jung, Young-Ho Kim
CHI 2023 DOI PDF
Best Paper Award (Top 1%)
Designing Flexible Longitudinal Regimens: Supporting Clinician Planning for Discontinuation of Psychiatric Drugs
Eunkyung Jo, Myeonghan Ryu, Georgia Kenderova, Samuel So, Bryan Shapiro, Alexandra Papoutsaki, Daniel A. Epstein
CHI 2022 DOI PDF
GeniAuti: Toward Data-Driven Interventions to Challenging Behaviors of Autistic Children through Caregivers' Tracking
Eunkyung Jo, Seora Park, Hyeonseok Bang, Youngeun Hong, Yeni Kim, Jungwon Choi, Bung Nyun Kim, Daniel A. Epstein, Hwajung Hong
PACM Human-Computer Interaction 6 (CSCW1), 2022 DOI PDF
MAMAS: Supporting Parent-Child Mealtime Interactions Using Automated Tracking and Speech Recognition
Eunkyung Jo, Hyeonseok Bang, Myeonghan Ryu, Eun Jee Sung, Sungmook Leem, Hwajung Hong
PACM Human-Computer Interaction 4 (CSCW1), 2020 DOI PDF
Understanding Parenting Stress through Co-designed Self-Trackers
Eunkyung Jo, Austin L. Toombs, Colin M. Gray, Hwajung Hong
CHI 2020 DOI PDF