12 papers
How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process
Yu Fu, Jiawei Zhou, Sichen Jin +3
Data narratives increasingly shape public understanding, but their failures are rarely just isolated factual errors or deceptive charts. Instead, they emerge through a broader mean…
Perception-aware Sampling for Scatterplot Visualizations
Zafeiria Moumoulidou, Hamza Elhamdadi, Ke Yang +3
Visualizing data is often a crucial first step in data analytics workflows, but growing data sizes pose challenges due to computational and visual perception limitations. As a resu…
Data-Induced Groupings and How To Find Them
Yilan Jiang, Cindy Xiong Bearfield, Steven Franconeri +1
Making sense of a visualization requires the reader to consider both the visualization design and the underlying data values. Existing work in the visualization community has large…
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…
MLLM as a UI Judge: Benchmarking Multimodal LLMs for Predicting Human Perception of User Interfaces
Reuben A. Luera, Ryan Rossi, Franck Dernoncourt +12
In an ideal design pipeline, user interface (UI) design is intertwined with user research to validate decisions, yet studies are often resource-constrained during early exploration…
Playing telephone with generative models: "verification disability," "compelled reliance," and accessibility in data visualization
Frank Elavsky, Cindy Xiong Bearfield
This paper is a collaborative piece between two worlds of expertise in the field of data visualization: accessibility and bias. In particular, the rise of generative models playing…