11 citations · 25 across the 6 of their papers we have counts for
5 papers · 1 filter
Chart-to-Experience: Benchmarking Multimodal LLMs for Predicting Experiential Impact of Charts
Seon Gyeom Kim, Jae Young Choi, Ryan Rossi +2
The field of Multimodal Large Language Models (MLLMs) has made remarkable progress in visual understanding tasks, presenting a vast opportunity to predict the perceptual and emotio…
Optimizing Data Delivery: Insights from User Preferences on Visuals, Tables, and Text
Reuben Luera, Ryan Rossi, Franck Dernoncourt +9
In this work, we research user preferences to see a chart, table, or text given a question asked by the user. This enables us to understand when it is best to show a chart, table,…
Understanding the Impact of Spatial Immersion in Web Data Stories
Seon Gyeom Kim, Juhyeong Park, Yutaek Song +6
An increasing number of web articles engage the reader with the feeling of being immersed in the data space. However, the exact characteristics of spatial immersion in the context…
An Evaluation-Focused Framework for Visualization Recommendation Algorithms
Zehua Zeng, Phoebe Moh, Fan Du +5
Although we have seen a proliferation of algorithms for recommending visualizations, these algorithms are rarely compared with one another, making it difficult to ascertain which a…
Insight-centric Visualization Recommendation
Camille Harris, Ryan A. Rossi, Sana Malik +5
Visualization recommendation systems simplify exploratory data analysis (EDA) and make understanding data more accessible to users of all skill levels by automatically generating v…