Human-Computer Interaction Lab | website

Dept. of Computer Science and Engineering, College of Engineering


The Human-Computer Interaction Lab of SNU was founded in the year of 2009 by Prof. Jinwook Seo
We aim for excellence in transforming novel ideas into successful research projects and into technology innovations, which contributes to improving quality of life.

We are interested in designing, developing, and evaluating user interfaces and interaction techniques to help users solve their challenging problems in everyday life. We believe that understanding people’s needs is vital to developing successful future technologies. 

We are actively participating in designing and developing satisfying user interfaces and visualization systems.


Information Visualization, User Interaction Design, Bioinformatics

User Experience Lab | website

Dept. of Transdisciplinary Studies, Graduate School of Convergence Science & Technology


The User Experience Lab of SNU was founded in the year of 2009 by Prof. Joongseek Lee.

We define “User Experience” as a differentiated software experience. To improve user experience, we aim to design information architecture(IA) with view flow similar to that of cognitive model through novel and genuine user research. This research requires thorough understanding of the information system, interactions, and pattern visualization models.

We are interested in user research, particularly in general methodology and model proposals, and information architecture(IA) such as gathering, grouping, and structuring of data. We put emphasis on the approach of cognitive science and digital culture studies different from the convention and expect that our studies will help to improve software experience for users.


User Experience, Interaction Design, Information Architecture

HCI+Design Lab | website

Dept. of Communication

At the hci+d lab. at Seoul National University, we are conducting research on Human-Computer Interaction,Social ComputingInformation Visualization and more. Current research focuses on understanding social behavior through large data analysis and building high fidelity interactive systems. Please contact us if you want to join our research group.


Human-Computer Interaction, Social Computing, Information Visualization

Human-centered Computing Lab | website

Dept. of Transdisciplinary Studies, Graduate School of Convergence Science & Technology

We are very interested in interdisciplinary areas of Human Computer Interaction (HCI), the Internet of Things (IoT), and Big Data. Our goal is to help people communicate and interact with one another easily and without limits by supporting them with software and hardware tools designed in human-centered ways.

Tremendous opportunities are emerging in the intersection of these fields. Human Computer Interaction (HCI) principles can provide methodologies and experimental frameworks as well as human behavior modeling techniques. The theories and tools can improve understanding on human nature and behaviors.

The proper understanding of human’s information behavior can be crucial for designing tools for supporting people’s everyday life. Our second focus to the design of novel devices for supporting human’s daily activities.

With a plethora of personal digital devices for ordinary people, it becomes reality that computers could track and count the vast amount of information using data they gathered without any help from us. Big Data technologies enable researcher to collect and analyze massive amount of data that are generated by such systems. The Big Data technology can be an indispensable asset to tackle large-scale data problems, which can play a very important role in understanding users’ behavior.

Cognitive Computing Lab | website

Dept. of Transdisciplinary Studies, Graduate School of Convergence Science & Technology

The goal of Cognitive computing lab is to model the human cognitive processes using computing systems. To build such systems that involve self-learning, our research is interdisciplinary in nature, gathering knowledge and technology across domains from social sciences to engineering. For data collection we use both qualitative and quantitative processes. For data analysis and system building, we use technologies from the area of data mining, predictive analysis, and natural language processing.

In particular, our research focuses on examining cognitive factors and building supportive systems that impact the problem of overusing smart devices, which is a problematic area in the current digital society. Example projects include identifying smart device overuse patterns & causes, developing educational systems that impact flow on learning.


Human-Computer Interaction, Learning Science, Multimedia Educational Technology, Natural Language Processing