Name
Abstract | ||
|---|---|---|
This work proposes
<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Winglets</italic>
, an enhancement to the classic scatterplot to better perceptually pronounce multiple classes by improving the perception of association and uncertainty of points to their related cluster. Designed as a pair of dual-sided strokes belonging to a data point,
<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Winglets</italic>
leverage the Gestalt principle of
<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Closure</italic>
to shape the perception of the form of the clusters, rather than use an explicit divisive encoding. Through a subtle design of two dominant attributes, length and orientation,
<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Winglets</italic>
enable viewers to perform a mental completion of the clusters. A controlled user study was conducted to examine the efficiency of
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in perceiving the cluster association and the uncertainty of certain points. The results show
<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Winglets</italic>
form a more prominent association of points into clusters and improve the perception of associating uncertainty. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TVCG.2019.2934811 | IEEE transactions on visualization and computer graphics |
Keywords | Field | DocType |
Visualization,Uncertainty,Image color analysis,Shape,Clustering algorithms,Encoding | Wingtip device,Engineering drawing,Computer science,Theoretical computer science | Journal |
Volume | Issue | ISSN |
26 | 1 | 1077-2626 |
Citations | PageRank | References |
2 | 0.37 | 17 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Min Lu | 1 | 214 | 11.29 |
| Shuaiqi Wang | 2 | 3 | 1.44 |
| Joel Lanir | 3 | 306 | 27.63 |
| Noa Fish | 4 | 2 | 0.71 |
| Yang Yue | 5 | 40 | 4.55 |
| Daniel Cohen-Or | 6 | 10588 | 533.55 |
| Hui Huang | 7 | 694 | 52.19 |