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Colorgorical: Creating discriminable and preferable color palettes for information visualization

Colorgorical allows users to make customized color palettes that are, on average, as effective as current industry standards by balancing the importance of discriminability and aesthetic preference.
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Mapping Color to Meaning in Colormap Data Visualizations

This study investigated how inferred color-quantity mappings for colormap data visualizations were influenced by the background color, and suggested that if a design goal is to produce colormaps that match people's inferred mappings and are robust to changes in Background color, it is beneficial to use colormapped that will not appear to vary in opacity on any background Color, and to encode larger quantities in darker colors.
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Heapviz: Interactive heap visualization for program understanding and debugging

Heapviz is presented, a tool for visualizing and exploring snapshots of the heap obtained from a running Java program that presents a global view of the program state as a graph together with powerful interactive capabilities for navigating it.
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Crowdsourcing from Scratch: A Pragmatic Experiment in Data Collection by Novice Requesters

An experiment with a class of 19 students is conducted to study how novice requesters design crowdsourcing tasks and summarizes design pitfalls and effective strategies observed to provide guidelines for novice requester.
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The relation between visualization size, grouping, and user performance

A list of design guidelines that focus on how to best create visualizations based on grouping, quantity, and size of visual marks are presented to facilitate the design of effective visualizations.
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An Analysis of Automated Visual Analysis Classification: Interactive Visualization Task Inference of Cancer Genomics Domain Experts

It is suggested that mouse interaction log analysis is a viable method for evaluating task requirements of client-side-focused tools, allowing researchers to study experts on larger scales than is typically possible with in-lab observation, and highlighting potential tool evaluation bias.
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MAGI: visualization and collaborative annotation of genomic aberrations

This research presents a new approach to studying the role of laser-spot assisted, 3D image analysis in the dynamic response of the immune system to cell injury.
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The dark is more (Dark+) bias in colormap data visualizations with legends

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Exploring hierarchical visualization designs using phylogenetic trees

A phylogenetic tree of a design corpus of hierarchical visualizations enables better understanding of the various design features of hierarchical information visualizations, and further illuminates the space in which the visualizations lie, through support for interactive clustering and novel design suggestions.
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Which color means more? An investigation of color-quantity mapping in data visualization.

This work investigated people's implicit intuitions about how the extremes of color scales map onto represented quantities, and found many violate the dark-is-more bias.
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