Leveraging Large Language Models to Power Chatbots for Collecting User Self-Reported Data
한국경제
I am a Lead Research Scientist at , leading the Human-Computer Interaction Research Group. As a Human-Computer Interaction researcher, I do research at the intersection of Ubiquitous Computing, Personal Health Informatics, and Personal Data Visualization. Combining my multidisciplinary knowledge in Computer Science and Visual Communication Design, I design and develop computing systems for self-tracking that empower people in the loop of human-data interaction.
I am a recipient of International Postdoc Fellowship supported by National Research Foundation of Korea in 2019, a Best of CHI Honorable Mention award at CHI 2021, and a Best Paper award at CHI 2023.
For my permanent e-mail address, please check my CV.
I will be accepting several research interns for 2024 spring/summer. Please check the internship page.
Miscellaneous Facts
🫶 My Myers–Briggs Type Indicator (MBTI) is ENFJ (Extraversion-iNtuition-Feeling-Judging).
👨👩👦 I am going to be a dad soon I'm a dad of one boy.
Short bio
2023 - Now
Leader, HCI
NAVER AI Lab
2021 - Now
Research Scientist
NAVER AI Lab
2019 - 2021
Postdoc
Univ. of Maryland
2012 - 2019
PhD (CS)
Seoul Nat'l Univ.
2007 - 2011
BFA (Design)
Seoul Nat'l Univ.
Research Topics
Flexible Human-Data Interaction in Personal Informatics
Personal informatics systems require signficant human efforts in both collecting and exploring the data,
becuase the self-tracking process involves the user's personal context information, which is not recorded in the data.
I explore ways to support such human-data interaction processes in flexible and less-structured manners,
to lower the barriers of lay individuals to novel self-tracking tools.
Personal Informatics ⨯ AI & NLP
Recent advance in Machine Learning and Natural Language Processing technologies opens exciting opportunities in the field of Personal Informatics.
For example, conversational agents equipped with large language models are used to capture various human behavioral information from natural language dialogs.
I am interested in building AI-powered Personal Informatics systems and understanding how should we deal with AI technologies to effectively and ethically handle self-tracking data.
Selected PublicationAll Publication
Best Paper Award
Understanding the Benefits and Challenges of Deploying Conversational AI Leveraging Large Language Models for Public Health Intervention
Honorable Mention Award
Data@Hand: Fostering Visual Exploration of Personal Data on Smartphones Leveraging Speech and Touch Interaction
Understanding Personal Productivity: How Knowledge Workers Define, Evaluate, and Reflect on Their Productivity
Research internsMore
2023.1 - 7
Sukhyun Lee
Yonsei University
News
2023.12
Invited talk at Seoul National University CS Dept (in-person)
2023.9
Our work on bootstrapping zero-shot health tracking chatbots with GPT was accepted with minor revision to ACM CSCW 2024!
2023.5
Serving as an AC in Health subcommittee at CHI 2024.
2023.5
Invited talk at KAIST grad school of Science and Technology Policy.
2023.4
Attending CHI 2023 in-person.
2023.4
Received Best Paper Award at CHI 2023 for CareCall project!
2023.4
One paper was (cond.) accepted to ACM CSCW 2023.
2023.2
Participating in a Panel at HCI Korea 2023 (in-person) - "How to become a world-leading HCI researcher in Korea"
2023.1
Three papers were (cond.) accepted to ACM CHI 2023.
Press
2023.4
2023.4
2023.4
2023.4
2016.7
Acknowledgment
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Citation counts of publication are scrapped from my Google Scholar profile.