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Title:VizDeck: Streamlining exploratory visual analytics of scientific data
Author(s):Perry, Daniel B.; Howe, Bill; Key, Alicia M.F.; Aragon, Cecilia
Subject(s):Information visualization
visual analytics
user interfaces
scientific collaboration
usability evaluation
Abstract:As research becomes increasingly data-intensive, scientists are relying on visualization very early in the data analysis cycle. We find that existing tools assume a “one-at-a-time” workflow for creating visualizations and impose a steep learning curve that makes it difficult to rapidly create and review visualizations. At the same time, scientists are becoming more cognitively overloaded, spending an increasing proportion of time on data “handling” tasks rather than scientific analysis. In response, we present VizDeck, a web-based visual analytics tool for relational data that automatically recommends a set of appropriate visualizations based on the statistical properties of the data and adopts a card game metaphor to present the results to the user. We describe the design of VizDeck and discuss the results of a usability evaluation comparing VizDeck with three other popular visualization tools. We then discuss design considerations for visualization tools focused on rapid analysis based on observed sensemaking processes.
Issue Date:2013-02
Citation Info:Perry, D., Howe, B., Key, Alicia M. F., & Aragon, C. (2013). VizDeck: Streamlining exploratory visual analytics of scientific data. iConference 2013 Proceedings (pp. 338-350). doi:10.9776/13206
Genre:Conference Paper / Presentation
Publication Status:published or submitted for publication
Peer Reviewed:is peer reviewed
Rights Information:Copyright © 2013 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.
Date Available in IDEALS:2013-01-28

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