Jinwook Seo is the first professor who founded an HCI research program in Seoul National University. He is teaching graduate and undergraduate HCI courses and an information visualization course at the graduate level. His research interests include human-computer interaction, information visualization, visual analytics, explainable AI, and health informatics.
As a director of the Human-Computer Interaction Laboratory at the Department of Computer Science and Engineering, he helps his students find their potentials as young researchers and achieve their own research goals. Under his guidance, members of the HCI Laboratory perform various research projects derived by their own interests and passions, as well as engage in several interdisciplinary research projects with collaborators in other research fields, industries and government agencies.
He received his BS and MS degrees in Computer Science from Seoul National University, and Ph.D in Computer Science (Human-Computer Interaction, advised by Ben Shneiderman) at the Human-Computer Interaction Lab of the University of Maryland, College Park, MD, USA.
He has been serving on the steering committee of the IEEE PacificVis symposium, trying to build a strong visualization research community in the Asia Pacific region. He has also served as a papers co-chair for PacificVis. He has served on the program committees in the field of visualization and HCI; IEEE InfoVis, IEEE VAST, IEEE PacificVis, and ACM CHI. Recent services include the following:
- Steering Committee, IEEE VIS, October 2022 ~
- Executive Committee, IEEE VGTC, August 2022 ~ July 2025
- Associate Editor, IEEE TVCG, February 2023 ~
- Papers Chair (Area 6: Analytics & Decisions), IEEE VIS 2021, 2022
- Subcommittee Chair (Understanding People), CHI 2022
- Associate Chair (Visualization), CHI 2021
- Associate Chair (Privacy, Security and Visualization), CHI 2017
- Associate Chair (UX and Usability), CHI 2016
- Steering Committee, IEEE PacificVis, 2017~
- General Chair, IEEE PacificVis 2017
- Best Paper Committee, IEEE PacificVis 2021, 2024
- Papers Co-chair, IEEE PacificVis 2019, 2020
- Workshop Co-chair, PacificVAST 2018
Unveiling High-dimensional Backstage
A Survey for Reliable Visual Analytics with Dimensionality Reduction
Cluster-Label Matching
Measuring the Validity of Clustering Validation Datasets
S&UI
Leveraging Multimodal LLM for Inspirational User Interface Search
Natural Language Dataset Generation Framework for Visualizations Powered by Large Language Models
a Large Language Model (LLM) framework that generates rich and diverse NL datasets using only Vega-Lite specifications as input
Enhancing Data Literacy On-demand: LLMs as Guides for Novices in Chart Interpretation
Chart reading guidance using LLM through both textual and visual annotations
LitWeaver
Supporting Novice Researchers to Write Literature Review using Language Models
PhenoFlow
A Human-LLM Driven Visual Analytics System for Exploring Large and Complex Stroke Datasets
Fields, Bridges, and Foundations: How Researchers Browse Citation Network Visualizations
What are the specific elements researchers want to see in a citation network?
DataHalo
A Customizable Notification Visualization System for Personalized and Longitudinal Interactions
ZADU
A Python Library for Evaluating the Reliability of Dimensionality Reduction Embeddings
Classes are not Clusters
Improving Label-based Evaluation of Dimensionality Reduction
Large-scale Text-to-Image Generation Models for Visual Artists' Creative Works
A qualitative study to understand the use of large-scale text-to-image models for visual artists' creative works
CLAMS
A Cluster Ambiguity Measure for Estimating Perceptual Variability in Visual Clustering
UMATO
Uniform Manifold Approximation with Two-phase Optimization
We-toon
A Communication Support System between Writers and Artists in Collaborative Webtoon Sketch Revision
VHA
Efficient Typing on Ultrasmall Touch Screens with In Situ Decoder and Visual Feedback
RCMVis
A Visual Analytics System for Route Choice Modeling
Steadiness & Cohesiveness
Quality Metrics for Evaluating the Inter-cluster Reliability of Multidimensional Projections
Parallel Histogram Plots
Scaling Up Parallel Coordinate Plot with Color-coded Stacked Histograms
ProReveal
Seeking the trustworthiness of progressive data exploration
PolySquare
A Search Engine for 3D Models with Tag Propagation
ARphy
Extending A Personal Photographic Experience in Augmented Reality
Progressive UMAP
A progressive algorithm for UMAP
Githru
Visual Analytics for Understanding Software Development History Through Git Metadata Analysis
Comparative Layouts Revisited
Design Space, Guidelines, and Future Directions
Understanding Personal Productivity
How Knowledge Workers Define, Evaluate, and Reflect on Their Productivity
Previews, Animated Transitions, & Textual Descriptions
Toward Understanding Representation Methods in Visualization Recommendations
LongLine
Visual Analytics System for Large-scale Audit
Wall-based Space Manipulation
A 3D Interaction Technique for Efficient Placement of Distant Objects in Augmented Reality
PANENE
A Progressive Algorithm for Indexing and Querying Approximate k-Nearest Neighbors
SwiftTuna
Incrementally Exploring Large-scale Multidimensional Data
ChartSense
Interactive Data Extraction from Chart Images
miRTarVisPlus
Interactive visual analysis tool for microRNA-mRNA expression profile data
TouchPivot
Blending WIMP & Post-WIMP Interfaces for Data Exploration on Tablet Devices
OmniTrack
A Flexible Self-Tracking Approach Leveraging Semi-Automated Tracking
TimeAware
Leveraging Framing Effects to Enhance Personal Productivity
Peek-a-View
Smartphone Cover Interaction for Multi-tasking
CloakingNote
A Novel Desktop Interface for Subtle Writing Using Decoy Texts
IoT & Augmented Reality
Configuring IoT Devices in Augmented Reality Environment
EyeBookmark
Assisting Recovery from Interruption during Reading
XCluSim
A visual analytics tool for interactively comparing multiple clustering results of bioinformatics data
miRTarVis
miRTarVis is an interactive visual analysis tool for microRNA-mRNA expression profile data.
WordlePlus
Opening new possibilities of Wordle leveraging natural interaction and animation
LiveGantt
Interactively Visualizing a Large Manufacturing Schedule
Chromatic Aberration
Effect of Lateral Chromatic Aberration for Chart Reading in Information Visualization on Display Devices
GazeDx
Comparative Gaze Analysis Framework for Volumetric Medical Images
Reaching Targets on Discomfort Region Using Tilting Gesture
Remote Collaboration Project 2013
Quantitative Evaluation of Media Space Configuration in a Task-Oriented Remote Conference System
GazeVis
Interactive 3D Gaze Visualization for Contiguous Cross-sectional Medical Images
Stroscope
Multi-scale Visualization of Irregularly Measured Time-series Data
JIGSAWMAP
Connecting the Past to the Future - Visualizing and Mapping Textural Cadasters
DiffMatrix
Matrix-based pairwise time series comparison
FaceReview
Supporting Interactive Exploration of Linked Heterogeneous Datasets for Unilateral Cleft Lip and Palate
ImageCode
Using Arbitrary Images as 2D Visual Code
Remote Collaboration Project
What Do You See When You Interact with Friends Online? Face, Hand, or Canvas?
ManiWordle
Providing Flexible Control over Wordle
PittaTree
Tree Visualization Methods for Hierarchical Structures
TrapezoidBox
Dynamic Query Interface for Spatial Proximity Query with Degree-of-Interest Varied by Distance to Query Point
GeneShelf
A Web-based Visual Interface for Spinal Cord Injury Study
GoTreePlus
Interactive GO Visualization for Proteomics Projects
ConSet
Visualizing set concordance with permutation matrices and fan diagrams
Interactive Power Analysis Tool
Interactive Power Analysis Tool for Microarray Hypothesis Testing and Generation
Knowledge Discovery in High-Dimensional Data
Case Studies and a User Survey for the Rank-by-Feature Framework
A Rank-by-Feature Framework
for Interactive Exploration of Multidimensional Data
Interactive Optimization of Signal-to-Noise Ratios
Interactive Optimization of Signal-to-Noise Ratios for Affymetrix Microarray Projects
Hierarchical Clustering Explorer
Interactively Exploring Hierarchical Clustering Results