Jiyeong Oh
Papers
4
Total Citations
19
H-Index
3
About
Jiyeong Oh is a pioneering researcher at the intersection of human-robot interaction, cultural computing, and digital health. Her work fundamentally explores how socially-assistive robots (SARs) can be integrated into daily home environments to improve chronic healthcare management, with a particular focus on conditions like dementia, Alzheimer’s, and autism. Oh’s most impactful study, a comparative case study of in-home robotic companion pets in South Korea and the United States (11 citations), provides groundbreaking insights into how cultural context shapes user engagement with health-oriented robots. She further advances the field by developing data-driven approaches that enable robotic pets to autonomously adapt their behaviors for enhanced therapeutic effects, and by pioneering few-shot learning techniques for traditional machine learning classifiers applied to autism sensor data. With a cumulative citation count approaching 20 across her early-career publications, Oh is establishing herself as a leading voice in culturally-aware, user-centered robotics. Her work not only demonstrates that cultural background profoundly influences human-robot interaction but also provides the technical frameworks—from autonomous behavior adaptation to efficient AI classification—necessary to make in-home robotic companions a practical reality for global healthcare.
Research Focus
Key Achievements
Top Papers
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- 2The Answer lies in User Experience3 citations · 2023
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