11 citations · 26 across the 9 of their papers we have counts for
4 papers · 2 filters
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…
Color Maker: a Mixed-Initiative Approach to Creating Accessible Color Maps
Amey Salvi, Kecheng Lu, Michael E. Papka +2
Quantitative data is frequently represented using color, yet designing effective color mappings is a challenging task, requiring one to balance perceptual standards with personal c…