47 citations · 55 across the 11 of their papers we have counts for
14 papers
Treadstone: A Social-Media-Inspired Platform for Multi-Agent Collaborative Data Analysis
Hyunwook Lee, Sungbeom Cho, William Benjamin +6
Coordinating human analysts with autonomous AI agents faces the same challenges as human-to-human collaboration: sharing intermediate results, avoiding conflicts, and maintaining g…
Do Reasoning Representations Help Humans Evaluate LLM Outputs?
Jaewoo Lim, Sungbok Shin, Sanghyun Hong
Reasoning representations are increasingly used as explanations for large language model outputs. Yet they are typically evaluated with model-centric criteria, such as answer accur…
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…
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…
Beyond the Mirror: Personal Analytics through Visual Juxtaposition with Other People's Data
Sungbok Shin, Sunghyo Chung, Hyeon Jeon +6
An individual's data can reveal facets of behavior and identity, but its interpretation is context dependent. We can easily identify various self-tracking applications that help pe…
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…
Conversation Progress Guide : UI System for Enhancing Self-Efficacy in Conversational AI
Daeun Jeong, Sungbok Shin, Jongwook Jeong
In this study, we introduce the Conversation Progress Guide (CPG), a system designed for text-based conversational AI interactions that provides a visual interface to represent pro…
Real-time Calibration Model for Low-cost Sensor in Fine-grained Time series
Seokho Ahn, Hyungjin Kim, Sungbok Shin +1
Precise measurements from sensors are crucial, but data is usually collected from low-cost, low-tech systems, which are often inaccurate. Thus, they require further calibrations. T…
Drillboards: Adaptive Visualization Dashboards for Dynamic Personalization of Visualization Experiences
Sungbok Shin, Inyoup Na, Niklas Elmqvist
We present drillboards, a technique for adaptive visualization dashboards consisting of a hierarchy of coordinated charts that the user can drill down to reach a desired level of d…
Visualizationary: Automating Design Feedback for Visualization Designers using LLMs
Sungbok Shin, Sanghyun Hong, Niklas Elmqvist
Interactive visualization editors empower users to author visualizations without writing code, but do not provide guidance on the art and craft of effective visual communication. I…
Visualization for Human-Centered AI Tools
Naimul Hoque, Sungbok Shin, Niklas Elmqvist
Human-centered AI (HCAI) puts the user in the driver's seat of so-called human-centered AI-infused tools (HCAI tools): interactive software tools that amplify, augment, empower, an…
The Reality of the Situation: A Survey of Situated Analytics
Sungbok Shin, Andrea Batch, Peter W. S. Butcher +2
The advent of low cost, accessible, and high performance augmented reality (AR) has shed light on a situated form of analytics where in-situ visualizations embedded in the real wor…
Perceptual Pat: A Virtual Human System for Iterative Visualization Design
Sungbok Shin, Sanghyun Hong, Niklas Elmqvist
Designing a visualization is often a process of iterative refinement where the designer improves a chart over time by adding features, improving encodings, and fixing mistakes. How…
SANVis: Visual Analytics for Understanding Self-Attention Networks
Cheonbok Park, Inyoup Na, Yongjang Jo +7
Attention networks, a deep neural network architecture inspired by humans' attention mechanism, have seen significant success in image captioning, machine translation, and many oth…