HCI Researcher : Young-Ho Kim
Current Role and Expertise
Young-Ho Kim is a Lead Research Scientist at NAVER AI Lab and a prominent researcher in the field of HCI. His work spans across multiple domains, including Personal Health Informatics, Ubiquitous Computing (UbiComp), and Personal Data Visualization. By integrating his knowledge of computer science and visual communication design, Kim focuses on designing systems that enhance human-data interaction, especially in the context of self-tracking technologies.
Research Focus
His current research emphasizes the development of flexible self-tracking systems that adapt to the needs, contexts, and preferences of individuals. His goal is to empower users to make informed decisions and behavioral changes through better data interaction. His approach often involves combining AI and Natural Language Processing (NLP) technologies, particularly Large Language Models (LLMs), to create intelligent self-trackers. These systems help users better understand and reflect on their behaviors and health data in everyday contexts.
Recent Research Projects
CareCall: A project designed to use LLMs for public health interventions. In this system, conversational AI assists socially isolated individuals by conducting regular check-up calls. The system not only gathers health metrics but also provides emotional support through empathetic conversations. The findings from this project highlight both the benefits and challenges of using LLM-driven systems in real-world public health contexts, such as balancing user expectations and handling the limitations of AI in personalization and memory.
Textoshop: A novel tool that applies concepts from image editing to text manipulation. It allows users to engage in flexible and creative text editing by treating words and sentences similarly to how designers manipulate visual elements in software like Photoshop.
Notable Contributions and Impact on HCI
Kim’s work has significantly impacted how AI and human-centered design are integrated into real-world applications. By designing systems that bridge the gap between humans and data, he has contributed to making self-tracking technologies more accessible and adaptable to various user needs. His contributions to public health technology—especially in using AI to enhance social and emotional well-being—highlight the evolving role of HCI in addressing both technical and social challenges.
Source
“Understanding the Benefits and Challenges of Deploying Conversational AI Leveraging Large Language Models for Public Health Intervention” (2023)
“Textoshop: Interactions Inspired by Drawing Software to Facilitate Text Editing” (2024)
Achievements
- Best Paper Award at CHI 2023
- Best of CHI Honorable Mention in 2021
- Recipient of the International Postdoc Fellowship from the National Research Foundation of Korea (2019)
Conclusion
Young-Ho Kim’s work at the forefront of HCI research continues to shape how we think about user interaction with data and technology. His contributions to flexible self-tracking systems and AI-driven health interventions exemplify the power of integrating advanced AI with human-centered design, making significant strides in both public health and everyday technology interactions.