5 papers
Visualization Autocomplete: Visualization Authoring via Stepwise Design Recommendations
Hyeon Jeon, Sungbok Shin, Niklas Elmqvist
When domain experts create charts, the bottleneck is rarely the data, but knowing the optimal next step in chart design. The visualization design space is vast, and while domain ex…
Data Therapist: Eliciting Domain Knowledge from Subject Matter Experts Using Large Language Models
Sungbok Shin, Hyeon Jeon, Sanghyun Hong +1
Effective data visualization requires not only technical proficiency but also a deep understanding of the domain-specific context in which data exists. This context often includes…
Reading.help: Supporting EFL Readers with Proactive and On-Demand Explanation of English Grammar and Semantics
Sunghyo Chung, Hyeon Jeon, Sungbok Shin +1
A large portion of texts is written in English, but readers who see English as a Foreign Language (EFL) often struggle to read texts accurately and swiftly. EFL readers seek help f…
Stop Misusing t-SNE and UMAP for Visual Analytics
Hyeon Jeon, Jeongin Park, Sungbok Shin +1
Misuses of t-SNE and UMAP in visual analytics have become increasingly common. For example, although t-SNE and UMAP projections often do not faithfully reflect the original distanc…
Changing the Paradigm from Dynamic Queries to LLM-generated SQL Queries with Human Intervention
Ambre Assor, Hyeon Jeon, Sungbok Shin +1
We propose leveraging Large Language Models (LLMs) as an interaction layer for medical visualization systems. In domains like healthcare, where users must navigate high-dimensional…