VizDeck: a card game metaphor for fast visual data exploration

Authors:
Bill Howe;Alicia Key;Daniel Perry;Cecilia Aragon
Affiliations:
University of Washington, Seattle, Washington, USA;University of Washington, Seattle, Washington, USA;University of Washington, Seattle, Washington, USA;University of Washington, Seattle, Washington, USA
Venue:
CHI '12 Extended Abstracts on Human Factors in Computing Systems
Year:
2012

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Abstract

Scientists in all fields are acquiring data at a rate that is challenging the limits of human cognitive capacity. At the same time, researchers' attention is increasingly claimed by ever more diverse demands on their time. Visual perception is the highest bandwidth channel into the human brain, yet many existing visualization tools require a period of training rendering them inaccessible from a practical standpoint for many users. In addition, appropriate visualizations for cognitively overloaded users may differ from those optimized for analysis. We present VizDeck, a web-based visualization system for relational data that uses a card game metaphor and automatic visualization techniques to assist scientists and researchers in creating interactive visual dashboard applications in seconds with no programming necessary.