I am a Research Scientist at NAVER AI Lab. Before joining NAVER, I worked as a postdoctoral associate in Information Studies at the University of Maryland, College Park, working with Dr. Eun Kyoung Choe (2019-2021).
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 received a Ph.D. degree in Computer Science and Engineering (2012-2019, advised by Dr. Jinwook Seo), and a Bachelor of Fine Arts degree in Visual Communication Design (2007-2011) from Seoul National University.
I am a recipient of Korea International Postdoc Fellowship supported by National Research Foundation of Korea in 2019. I received a Best of CHI Honorable Mention award at ACM CHI 2021.
At NAVER AI Lab, we are actively expanding our research endeavors in the field of HCI and Personal Health Informatics. Please do not hesitate to email me for research collaboration and inquiries about research internship at NAVER AI Lab!
The HCI group at NAVER AI Lab is hiring! Please refer to our official job description (
English /
Korean).
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
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 pretrained 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.
Leveraging Pre-Trained Language Models to Streamline Natural Language Interaction for Self-Tracking
Young-Ho Kim,
Sungdong Kim,
Minsuk Chang,
and Sang-Woo Lee
NAACL 2022 Workshop on "Bridging HCI and NLP" (Short Paper)
MyMove: Facilitating Older Adults to Collect In-Situ Activity Labels on a Smartwatch with Speech
Young-Ho Kim,
Diana Chou,
Bongshin Lee,
Margaret Danilovich,
Amanda Lazar,
David E. Conroy,
Hernisa Kacorri,
and Eun Kyoung Choe
ACM CHI 2022 (Full Paper)
Data@Hand: Fostering Visual Exploration of Personal Data on Smartphones Leveraging Speech and Touch Interaction
Young-Ho Kim,
Bongshin Lee,
Arjun Srinivasan,
and Eun Kyoung Choe
ACM CHI 2021 (Full Paper)
Understanding Personal Productivity: How Knowledge Workers Define, Evaluate, and Reflect on Their Productivity
Young-Ho Kim,
Eun Kyoung Choe,
Bongshin Lee,
and Jinwook Seo
ACM CHI 2019 (Full Paper)
OmniTrack: A Flexible Self-Tracking Approach Leveraging Semi-Automated Tracking
Young-Ho Kim,
Jae Ho Jeon,
Bongshin Lee,
Eun Kyoung Choe,
and Jinwook Seo
PACM IMWUT (UbiComp 2017) (Full Paper)
TimeAware: Leveraging Framing Effects to Enhance Personal Productivity
Young-Ho Kim,
Jae Ho Jeon,
Eun Kyoung Choe,
Bongshin Lee,
KwonHyun Kim,
and Jinwook Seo
ACM CHI 2016 (Full Paper)
