Seohyeon Yoo
“A Smartphone and Smartwatch Dataset for Detecting and Predicting Eating Disorder Symptoms”
Ryuhaerang Choi*, Seohyeon Yoo*, Taeckyung Lee, Uichin Lee, and Sung-Ju Lee
Under review (*Equal contribution)
I am an M.S. student at the Mobile Intelligence & Interaction Lab at KAIST, advised by Prof. Sung-Ju Lee. I received my B.S. in Data Science from Hanyang University and studied as an exchange student at Universidad Carlos III de Madrid. Previously, I worked as an intern at Samsung Electronics DS AI Center.
My research focuses on digital healthcare, human-computer interaction, and human-centered AI. I currently work on mobile sensing for digital healthcare and am interested in designing intervention systems that provide timely and meaningful support in everyday life.
Research Interests: Digital Healthcare, Human-Computer Interaction, Human-Centered AI
Publications
Preprints & Under Review
“Collective Voice: Recovered-Peer Support Mediated by an LLM-Based Chatbot for Eating Disorder Recovery”
Ryuhaerang Choi, Taehan Kim*, Subin Park*, Seohyeon Yoo, Jennifer G. Kim, and Sung-Ju Lee
arXiv preprint · under review (*Equal contribution)
Conference & Journal Papers
“Learning Popularity-Aware User Representations for Sequential Recommendation via Retrieval-Augmentation”
Jiyoung Han*, Sungjong Seo*, Esther Kang, Seohyeon Yoo, and Hyunjoon Kim
ACM Transactions on Information Systems (TOIS 2026, To Appear) (*Equal contribution)
“Recovery is Relational: Digital Support Needs for Patients and Supporters in Eating Disorder Recovery”
Ryuhaerang Choi, Seohyeon Yoo, Xuhai Xu, and Sung-Ju Lee
ACM CHI Conference on Human Factors in Computing Systems (CHI 2026)
Posters & Workshop Papers
“Call Me Before I Open the Fridge”: Designing Conversational Support for Binge Eating Risk in Solitary Eating
Ryuhaerang Choi, Seohyeon Yoo, and Sung-Ju Lee
ACM UbiComp/ISWC 2026 Posters (To Appear)
Work Experience
KAIST Mobile Intelligence & Interaction Lab
Research Intern · Advisor: Prof. Sung-Ju Lee
Research on behavioral sensing and digital interventions for eating disorder recovery.
Samsung Electronics DS Division · AI Center
Engineering Intern
Developed anomaly detection pipelines for semiconductor process data and reliable LLM-based review agents.
Hanyang Data Mining & Algorithm Laboratory
Research Intern · Advisor: Prof. Hyun-joon Kim
Studied debiased retrieval-augmented sequential recommendation.
Education
KAIST, Republic of Korea
M.S. in AI Systems, Advisor: Sung-Ju Lee
Hanyang University, Republic of Korea
B.S. in Data Science
Universidad Carlos III de Madrid, Spain
Exchange Student in Data Science
Academic Service
Reviewer
ACM CHI 2027 Papers
ACM TEI 2027 Papers
ACM CHI 2026 Posters — Special Recognition for Outstanding Reviews
ACM CUI 2026 Short Papers & Works-in-Progress
ACM UbiComp/ISWC 2026 Posters
ACM MobileHCI 2026 Late-Breaking Work
Student Volunteer
ACM UbiComp/ISWC 2026 (October 2026)