17 citations · 20 across the 4 of their papers we have counts for
7 papers · 1 filter
Affective Color Scales for Colormap Data Visualizations
Halle C. Braun, Kushin Mukherjee, Seth R. Gorelik +1
Research on affective visualization design has shown that color is an especially powerful feature for influencing the emotional connotation of visualizations. Associations between…
Effects of data distribution and granularity on color semantics for colormap data visualizations
Clementine Zimnicki, Chin Tseng, Danielle Albers Szafir +1
To create effective data visualizations, it helps to represent data using visual features in intuitive ways. When visualization designs match observer expectations, visualizations…
Unifying Effects of Direct and Relational Associations for Visual Communication
Melissa A. Schoenlein, Johnny Campos, Kevin J. Lande +2
People have expectations about how colors map to concepts in visualizations, and they are better at interpreting visualizations that match their expectations. Traditionally, studie…
The UW Virtual Brain Project: An immersive approach to teaching functional neuroanatomy
Karen B. Schloss, Melissa A. Schoenlein, Ross Tredinnick +5
Learning functional neuroanatomy requires forming mental representations of 3D structure, but forming such representations from 2D textbook diagrams can be challenging. We address…
Context Matters: A Theory of Semantic Discriminability for Perceptual Encoding Systems
Kushin Mukherjee, Brian Yin, Brianne E. Sherman +2
People's associations between colors and concepts influence their ability to interpret the meanings of colors in information visualizations. Previous work has suggested such effect…
Semantic Discriminability for Visual Communication
Karen B. Schloss, Zachary Leggon, Laurent Lessard
To interpret information visualizations, observers must determine how visual features map onto concepts. First and foremost, this ability depends on perceptual discriminability; e.…