Young-Ho Kim | HCI Researcher and Builder

News

2021.12

Invited talk at University of Seoul, Dept. of Computer Science

2021.10

Invited talk at KAIST, Dept. of Industrial Design (Virtual)

2021.9

Invited talk at EIRIC (Virtual)

2021.6

Invited talk at NAVER AI Lab (Virtual)

2021.3

Invited talk at Stevens Institute of Technology, Dept. of Computer Science (Virtual)

2021.3

Data@Hand Paper received an Honorable Mention Award at CHI 2021!

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!

Featured Collaborative Research

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Data@Hand: Multimodal Data Exploration of Personal Data

It is tedious to explore personal data on a smartphone. We designed and developed Data@Hand, a mobile data exploration app that allows people to combine speech with touch interaction for fast and intuitive data exploration.

Personal data exploration;

multimodal interaction;

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OmniTrack for Research: a Flexible Mobile In-situ Data Collection Platform

Study instrumentation of in-situ data collection on mobile devices consumes time and resources. We built an open source research platform with which researchers can device data collection studies and deploy self-trackers to their participants' smartphones. We used the tool to conduct many research studies.

In-situ data collection;

research toolkit;

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FoodScrap: Capturing Rich Food Contexts with Speech

Capturing open-ended meal context using text entry is tedious. We incorporated speech input on a smartphone to capture the rich context around the food decision.

Food journaling;

Selected Publication

FoodScrap: Promoting Rich Data Capture and Reflective Food Journaling Through Speech Input

Yuhan Luo,

Young-Ho Kim,

Bongshin Lee,

Naeemul Hassan,

and Eun Kyoung Choe

ACM DIS 2021 (Full Paper)

Honorable Mention Award

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)