About Us

The User eXperience Lab at Seoul National University

The User eXperience Lab is affiliated with the Program in Digital Contents and Information Studies at the Graduate School of Convergence Science and Technology of Seoul National University. A diverse group of students with majors in literature, aesthetics, anthropology, communications, library and information science, business, computer science, electrical engineering, design and etc work and research together in an interdisciplinary environment.


"Here we have students that follow, examine, analyze, and understand people,
sometimes even like stalkers"


Perspective - Humanistic Theories on Digital Culture and Information Behavior

First, we limit "user" and "user experience" to "software users" and their experience in order to distinguish UX with other similar topics and to precisely define our research subject. And to especially understand the software user, we build on the technological and engineering perspectives and use Socio-humanitic theories as a base. Computers and information technology is deeply embedded in our lifestyles. We can observe the 'softwarization' across culture as a whole, and users are seamlessly connected with machines and services, living online wherever and whenever. We are 'post-human', enjoying digital or software culture by utilizing physical and cognitive prosthetic devices. Sophisticated media and people, socio-cultural elements all are entangled to make the conditions of life. Questions on understanding the post-human, the nature of the socio-cultural environment that surrounds them, and what they require from information systems requires a theoretic approach in communications and media research, cultural research, and information sciences (human information behavior) in order to broaden our view and comprehension.

Methods - Deep Log-based User Research

While socio-humanitic theories and concepts become the base of understanding the post-human, in order to understand actual users we utilize flexible log-based investigation methods made possible by software. Traditional methods come up short in investigating users of today. Users as a post-human use multiple devices including smartphones to consume services that provide micro-interactions in real time. These devices are prosthetic devices for awareness and judgement. With these devices, people commonly multi-task and act on habits without thought, making it difficult to investigate with surveys and interviews. In addition, a big portion of the user experience takes place in the cognitive process, which cannot be examined easily. Therefore, a new research method that encompasses the physical, informational, and cognitive elements along with the unconscious and habitual behaviors is needed. Digital media and technology, as a part of their technical property, can record every move of the user into a log, which our lab intends to harness in our research.

Goals - Experience Modeling and the Discovery of Behavioral Patterns

What we want to discover with the repackaging of the user with log-based data is the various post-human personas and generic experience and cognitive models of 'new' users who use who use physical and cognitive prosthetics. This includes a wide variety of new users such as drivers, travelers, learners, medical personnel and etc. In addition, we also focus on more detailed user behavior patterns like the use of photos, push alerts, memos, and maps in smartphones. Based on these findings we identify users' needs and construct 'view flows' and information structures that resemble (experience and cognitive) models.



NextGeneration Mobile (NGMO) - Samsung Electronics

The objective of NGMO was to discover the product concept of the post-smartphone. Under the assumption that artificial intelligence technology will be the next technological point of inflection, five product concepts and 7 design seeds were derived for the future artificial intelligence powered personal mobile device.

TV Audio User Experience Modeling - Samsung Electronics
Big Data News Experience - Korea Press Foundation

NewsExp aims to provide a new news experience via big data analysis of people, organizations, and quotes inside articles. This project aims to find and surface the hidden relations between them to provide a better understanding of news events by providing a novel type of narrative consisting of quotes.




Samsung Electronics DMC Research Center IoT Technology Consultation
Patient Health Information Collection

Project JKME aims to help clinicians better understand patients suffering from chronic illnesses by collecting patient data from wearable devices. The data is collected and displayed on a screen to aide in prescriptions.

Lifelog - Public Data Patient Health Records

Personal Health Record (PHR) aims to achieve  the actual functional recovery of rehabilitation patients. We applied PHR to help breast cancer patients to gain knowledge on their rehabilitation exercise and daily activities, and to better communicate with their doctors.




UX Prototyping Tool Development

The use of various devices such as PC, mobile, and tablet PC is becoming more widespread. This change has raised the issue of designing distinct enterprise software for each device. We examine how the prototyping process dealing with multi-devices changed among designer, developer and client.




Smart Patient Monitor UI/UX
Personal Data Profiling in Cars - Samsung Electronics
Business-side UX Sophistication - ToBeSoft




Global Spread of Digital Hallyu Contents
Data-centered UX
Business-side UX Sophistication - ToBeSoft

Recent Publications


Oh, Changhoon, et al. "Understanding Participatory Hashtag Practices on Instagram: A Case Study of Weekend Hashtag Project." Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems. ACM, 2016.

Kim, Yoojung, et al. "My Doctor is Keeping an Eye on Me!: Exploring the Clinical Applicability of a Mobile Food Logger." Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. ACM, 2016.

Lee, Hyunjeong, et al. "How to juggle work & family: a mixed method study on home-based mom teleworkers." IConference 2016 Proceedings (1916).

Urgessa, Teklu, et al. "Prototyping Sensor Based People Counting System." Proceedings of HCI Korea. Hanbit Media, Inc., 2016.

Maeng, Wookjae, et al. "Can Mobile Instant Messaging Be a Useful Interviewing Tool? A Comparative Analysis of Phone Use, Instant Messaging, and Mobile Instant Messaging." Proceedings of HCI Korea. Hanbit Media, Inc., 2016.


Yoo, Hyunjin, Jungwon Yoon, and Hyunsoo Ji. "Index Finger Zone: Study on Touchable Area Expandability Using Thumb and Index Finger." Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct. ACM, 2015.

Kim, Yoojung, et al. "Travel Q: Questifying Micro Activities Using Travel Photos to Enhance Travel Experience." Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems. ACM, 2015.

Seo, Jehwan, et al. "Design of a Smart TV Logging System Using Beacons and Smartphones." Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems. ACM, 2015.


Oh, Changhoon, Jeongsoo Park, and Bongwon Suh. "Gravity: automatic location tracking system between a car and a pedestrian." Proceedings of the 16th international conference on Human-computer interaction with mobile devices & services. ACM, 2014.

Lim, Hajin, et al. "Ubi-jector: an information-sharing workspace in casual places using mobile devices." Proceedings of the 16th international conference on Human-computer interaction with mobile devices & services. ACM, 2014.

Ahn, Hyunjin, Jihyung Yoo, and Yoojung Kim. "Unsleeping TV: Always-On Screen Concept Using Bi-stable Display."

Jeong, Youngchan, Sumi Kim, and Joongseek Lee. "A Design Process based on Field Research: An Adjustable Desk for Children in Rural India."

Oh, Changhoon, and Joongseek Lee. "Understanding in-car smartphone usage pattern with an un-obfuscated observation." Proceedings of the extended abstracts of the 32nd annual ACM conference on Human factors in computing systems. ACM, 2014.

Ahn, Hyunjin, Yoojung Kim, and Bongwon Suh. "Use octopus launcher like your hands: joystick-based smartphone control solution for motor impaired people in electric wheelchairs." Proceedings of the extended abstracts of the 32nd annual ACM conference on Human factors in computing systems. ACM, 2014.

Kim, Sumi, and Heekyung Choi. "Still hungry for information: Information Seeking Behavior of senior citizens in South Korea." iConference 2014 Proceedings (2014).

Lab Members

Joongseek Lee

Ph.D Students

Hyeran Jung, Sookyoung Ji, Joosun Hwang, Junho Song, Teklu Urgessa, Wookjae Maeng, Yoojung Kim, Jieun Song, Min-joon Kim

Master Students

Jungwon Yoon, Hyunsoo Ji, Hyukjin Kim, Hyeonjung Lee, Nuri Na, Hyesoo Yoo, Jueun Choi, Sangkyu Han, Aju An, Jongmuck Yoon, Sookyung Yoon, Sukyo Han