5 papers · 1 filter
Marks, Channels, and Dead Ends: Stop Running Graphical Perception Studies and Start Modeling Visualizations as Images
Khairi Reda, Shambhawi Sharma, Luc Renambot +2
Graphical perception studies are the visualization community's preferred tool for evaluating visualizations. By measuring how accurately people interpret arrangements of visual mar…
Designing a Lightweight GenAI Interface for Visual Data Analysis
Ratanond Koonchanok, Alex Kale, Khairi Reda
Recent advances in Generative AI have transformed how users interact with data analysis through natural language interfaces. However, many systems rely too heavily on LLMs, creatin…
Could Humans Outshine AI in Visual Data Analysis?
Ratanond Koonchanok, Khairi Reda
People often use visualizations not only to explore a dataset but also to draw generalizable conclusions about underlying models or phenomena. While previous research has viewed de…
Trust Your Gut: Comparing Human and Machine Inference from Noisy Visualizations
Ratanond Koonchanok, Michael E. Papka, Khairi Reda
People commonly utilize visualizations not only to examine a given dataset, but also to draw generalizable conclusions about the underlying models or phenomena. Prior research has…
Science in a Blink: Supporting Ensemble Perception in Scalar Fields
Victor A. Mateevitsi, Michael E. Papka, Khairi Reda
Visualizations support rapid analysis of scientific datasets, allowing viewers to glean aggregate information (e.g., the mean) within split-seconds. While prior research has explor…