Abstract | ||
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Recently, an approach for determining the value of a visualization was proposed, one moving beyond simple measurements of task accuracy and speed. The value equation contains components for the time savings a visualization provides, the insights and insightful questions it spurs, the overall essence of the data it conveys, and the confidence about the data and its domain it inspires. This articula... |
Year | DOI | Venue |
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2019 | 10.1109/TVCG.2018.2865146 | IEEE Transactions on Visualization and Computer Graphics |
Keywords | Field | DocType |
Data visualization,Task analysis,Usability,Visualization,Benchmark testing,Tools,Guidelines | Data visualization,Heuristic,Task analysis,Visualization,Computer science,Usability,Theoretical computer science,Heuristics,Human–computer interaction,Mirroring,Benchmark (computing) | Journal |
Volume | Issue | ISSN |
25 | 1 | 1077-2626 |
Citations | PageRank | References |
7 | 0.44 | 21 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Emily Wall | 1 | 47 | 5.38 |
Meeshu Agnihotri | 2 | 10 | 0.93 |
Laura E. Matzen | 3 | 9 | 1.89 |
Kristin Divis | 4 | 17 | 3.76 |
Michael Haass | 5 | 12 | 1.49 |
Alex Endert | 6 | 974 | 52.18 |
John Stasko | 7 | 5655 | 494.01 |