VizDeck: Streamlining exploratory visual analytics of scientific data

Perry, Daniel B.; Howe, Bill; Key, Alicia M.F.; Aragon, Cecilia

Permalink

https://hdl.handle.net/2142/36044 Copy

Description

Title

VizDeck: Streamlining exploratory visual analytics of scientific data

Author(s)

• Perry, Daniel B.
• Howe, Bill
• Key, Alicia M.F.
• Aragon, Cecilia

Issue Date

2013-02

Keyword(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.

Publisher

iSchools

Type of Resource

text

Language

en

Permalink

http://hdl.handle.net/2142/36044

DOI

https://doi.org/10.9776/13206

Copyright and License Information

Copyright © 2013 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.

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