6 papers · 1 filter
Do You "Trust" This Visualization? An Inventory to Measure Trust in Visualizations
Huichen Will Wang, Kylie Lin, Andrew Cohen +4
Trust plays a critical role in visual data communication and decision-making, yet existing visualization research employs varied trust measures, making it challenging to compare an…
Tell Me Without Telling Me: Two-Way Prediction of Visualization Literacy and Visual Attention
Minsuk Chang, Yao Wang, Huichen Will Wang +3
Accounting for individual differences can improve the effectiveness of visualization design. While the role of visual attention in visualization interpretation is well recognized,…
Grid Labeling: Crowdsourcing Task-Specific Importance from Visualizations
Minsuk Chang, Yao Wang, Huichen Will Wang +2
Knowing where people look in visualizations is key to effective design. Yet, existing research primarily focuses on free-viewing-based saliency models - although visual attention i…
Jupybara: Operationalizing a Design Space for Actionable Data Analysis and Storytelling with LLMs
Huichen Will Wang, Larry Birnbaum, Vidya Setlur
Mining and conveying actionable insights from complex data is a key challenge of exploratory data analysis (EDA) and storytelling. To address this challenge, we present a design sp…
DracoGPT: Extracting Visualization Design Preferences from Large Language Models
Huichen Will Wang, Mitchell Gordon, Leilani Battle +1
Trained on vast corpora, Large Language Models (LLMs) have the potential to encode visualization design knowledge and best practices. However, if they fail to do so, they might pro…
How Aligned are Human Chart Takeaways and LLM Predictions? A Case Study on Bar Charts with Varying Layouts
Huichen Will Wang, Jane Hoffswell, Sao Myat Thazin Thane +2
Large Language Models (LLMs) have been adopted for a variety of visualizations tasks, but how far are we from perceptually aware LLMs that can predict human takeaways? Graphical pe…