17 citations · 20 across the 4 of their papers we have counts for
6 papers
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…
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.…
Estimating Color-Concept Associations from Image Statistics
Ragini Rathore, Zachary Leggon, Laurent Lessard +1
To interpret the meanings of colors in visualizations of categorical information, people must determine how distinct colors correspond to different concepts. This process is easier…