Title
Toward Understanding Representation Methods in Visualization Recommendations through Scatterplot Construction Tasks.
Abstract
Most visualization recommendation systems predominantly rely on graphical previews to describe alternative visual encodings. However, since InfoVis novices are not familiar with visual representations (e.g., interpretation barriers [GTS10]), novices might have difficulty understanding and choosing recommended visual encodings. As an initial step toward understanding effective representation methods for visualization recommendations, we investigate the effectiveness of three representation methods (i.e., previews, animated transitions, and textual descriptions) under scatterplot construction tasks. Our results show how different representations individually and cooperatively help users understand and choose recommended visualizations, for example, by supporting their expect-and-confirm process. Based on our study results, we discuss design implications for visualization recommendation interfaces.
Year
DOI
Venue
2019
10.1111/cgf.13682
COMPUTER GRAPHICS FORUM
Field
DocType
Volume
Visualization,Computer science,Theoretical computer science,Human–computer interaction,User studies
Journal
38.0
Issue
ISSN
Citations 
3.0
0167-7055
1
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Sehi L'Yi1192.39
Youli Chang220.70
Donghwa Shin339632.34
Jinwook Seo458652.89