4 papers · 1 filter
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…
VisAnywhere: Developing Multi-platform Scientific Visualization Applications
Thomas Marrinan, Madeleine Moeller, Alina Kanayinkal +2
Scientists often explore and analyze large-scale scientific simulation data by leveraging two- and three-dimensional visualizations. The data and tasks can be complex and therefore…
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…