Bum Chul Kwon

Orcid: 0000-0002-9391-6274

Affiliations:
  • IBM Research, Cambridge, MA, USA
  • University of Konstanz, Department of Computer and Information Science (former)


According to our database1, Bum Chul Kwon authored at least 58 papers between 2009 and 2024.

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Bibliography

2024
Towards Visualization Thumbnail Designs That Entice Reading Data-Driven Articles.
IEEE Trans. Vis. Comput. Graph., August, 2024

DG Comics: Semi-Automatically Authoring Graph Comics for Dynamic Graphs.
CoRR, 2024

ASAP: Interpretable Analysis and Summarization of AI-generated Image Patterns at Scale.
CoRR, 2024

SPARK: Harnessing Human-Centered Workflows with Biomedical Foundation Models for Drug Discovery.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

MiMICRI: Towards Domain-centered Counterfactual Explanations of Cardiovascular Image Classification Models.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Toward a More Comprehensive Understanding of Visualization Literacy.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

2023
Roslingifier: Semi-Automated Storytelling for Animated Scatterplots.
IEEE Trans. Vis. Comput. Graph., June, 2023

ConceptExplainer: Interactive Explanation for Deep Neural Networks from a Concept Perspective.
IEEE Trans. Vis. Comput. Graph., 2023

Latent Space Explorer: Visual Analytics for Multimodal Latent Space Exploration.
CoRR, 2023

People's Perceptions Toward Bias and Related Concepts in Large Language Models: A Systematic Review.
CoRR, 2023

PromptAid: Prompt Exploration, Perturbation, Testing and Iteration using Visual Analytics for Large Language Models.
CoRR, 2023

Causalvis: Visualizations for Causal Inference.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Finspector: A Human-Centered Visual Inspection Tool for Exploring and Comparing Biases among Foundation Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022
Human-centered explainability for life sciences, healthcare, and medical informatics.
Patterns, 2022

An Empirical Study on the Relationship Between the Number of Coordinated Views and Visual Analysis.
CoRR, 2022

ConceptExplainer: Understanding the Mental Model of Deep Learning Algorithms via Interactive Concept-based Explanations.
CoRR, 2022

RMExplorer: A Visual Analytics Approach to Explore the Performance and the Fairness of Disease Risk Models on Population Subgroups.
Proceedings of the 2022 IEEE Visualization and Visual Analytics (VIS), 2022

DASH: Visual Analytics for Debiasing Image Classification via User-Driven Synthetic Data Augmentation.
Proceedings of the 24th Eurographics Conference on Visualization, 2022

Moody Man: Improving creative teamwork through dynamic affective recognition.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021
DPVis: Visual Analytics With Hidden Markov Models for Disease Progression Pathways.
IEEE Trans. Vis. Comput. Graph., 2021

Geono-Cluster: Interactive Visual Cluster Analysis for Biologists.
IEEE Trans. Vis. Comput. Graph., 2021

Wait, Let's Think about Your Purchase Again: A Study on Interventions for Supporting Self-Controlled Online Purchases.
Proceedings of the WWW '21: The Web Conference 2021, 2021

VATUN: Visual Analytics for Testing and Understanding Convolutional Neural Networks.
Proceedings of the 21st Eurographics Conference on Visualization, 2021

Interactive Model Report Card for Visual Exploration of Performance Heterogeneity and Biases on Population Subgroups.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

How Robust is Your Risk Model? Assessing Subpopulation Performance Heterogeneity in Risk Models Based on Discrimination, Calibration, and Fairness Measures: An Atrial Fibrillation Use Case.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
Modeling Disease Progression Trajectories from Longitudinal Observational Data.
CoRR, 2020

User-driven Analysis of Longitudinal Health Data with Hidden Markov Models for Clinical Insights.
CoRR, 2020

Tutorial on Human-Centered Explainability for Healthcare.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

GUIComp: A GUI Design Assistant with Real-Time, Multi-Faceted Feedback.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

Modeling Disease Progression Trajectories from Longitudinal Observational Data.
Proceedings of the AMIA 2020, 2020

2019
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records.
IEEE Trans. Vis. Comput. Graph., 2019

DPVis: Visual Exploration of Disease Progression Pathways.
CoRR, 2019

SANVis: Visual Analytics for Understanding Self-Attention Networks.
Proceedings of the 30th IEEE Visualization Conference, 2019

Thumbnails for Data Stories: A Survey of Current Practices.
Proceedings of the 30th IEEE Visualization Conference, 2019

2018
Clustervision: Visual Supervision of Unsupervised Clustering.
IEEE Trans. Vis. Comput. Graph., 2018

2017
VLAT: Development of a Visualization Literacy Assessment Test.
IEEE Trans. Vis. Comput. Graph., 2017

AxiSketcher: Interactive Nonlinear Axis Mapping of Visualizations through User Drawings.
IEEE Trans. Vis. Comput. Graph., 2017

<i>VisExpress</i>: Visual exploration of differential gene expression data.
Inf. Vis., 2017

Sampling for Scalable Visual Analytics.
IEEE Computer Graphics and Applications, 2017

2016
Errata to "Guidelines for Effective Usage of Text Highlighting Techniques" [1].
IEEE Trans. Vis. Comput. Graph., 2016

Guidelines for Effective Usage of Text Highlighting Techniques.
IEEE Trans. Vis. Comput. Graph., 2016

The Role of Uncertainty, Awareness, and Trust in Visual Analytics.
IEEE Trans. Vis. Comput. Graph., 2016

VisOHC: Designing Visual Analytics for Online Health Communities.
IEEE Trans. Vis. Comput. Graph., 2016

Personas in online health communities.
J. Biomed. Informatics, 2016

Spherical Similarity Explorer for Comparative Case Analysis.
Proceedings of the Visualization and Data Analysis 2016, 2016

A Comparative Evaluation on Online Learning Approaches using Parallel Coordinate Visualization.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

2015
What Are the Causes of Noncompliance Behaviors in Bar Code Medication Administration System Processes?
Int. J. Hum. Comput. Interact., 2015

Do People Really Experience Information Overload While Reading Online Reviews?
Int. J. Hum. Comput. Interact., 2015

Coddlers, Scientists, Adventurers, and Opportunists: Personas to Inform Online Health Community Development.
CoRR, 2015

Ambient Grids: Maintain Context-Awareness via Aggregated Off-Screen Visualization.
Proceedings of the 17th Eurographics Conference on Visualization, 2015

2014
Knowledge Generation Model for Visual Analytics.
IEEE Trans. Vis. Comput. Graph., 2014

State-of-the-Art Report of Visual Analysis for Event Detection in Text Data Streams.
Proceedings of the 16th Eurographics Conference on Visualization, 2014

2013
Visual Analytics for Multimodal Social Network Analysis: A Design Study with Social Scientists.
IEEE Trans. Vis. Comput. Graph., 2013

ReadingMate: The Effect of the Content Stabilizing Technique, Font Size, and Interline Spacing on the Letter-Counting Task Performance of Treadmill Runners.
Hum. Factors, 2013

2012
Evaluating the Role of Time in Investigative Analysis of Document Collections.
IEEE Trans. Vis. Comput. Graph., 2012

2011
Visual analytic roadblocks for novice investigators.
Proceedings of the 6th IEEE Conference on Visual Analytics Science and Technology, 2011

Direct manipulation through surrogate objects.
Proceedings of the International Conference on Human Factors in Computing Systems, 2011

2009
ReadingMate: an infrared-camera-based content stabilization technique to help joggers read while running on a treadmill.
Proceedings of the 27th International Conference on Human Factors in Computing Systems, 2009


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