Name
Abstract | ||
|---|---|---|
A visualization sequence is an effective representation of meaningful data stories.Existing visualization sequencing approaches use heuristics to arrange charts in a meaningful order.While they perform well in specific scenarios, they do not customize the generated sequences to individual users' preferences. In this work, we present VisGuide, an assistive data exploration system that helps a user create contextual visualization sequence trees by sequentially recommending meaningful charts tailoring to the user's preference on data exploration. Our results show that VisGuide can recommend chart sequences that interest users and are also considered meaningful by domain experts.
|
Year | DOI | Venue |
|---|---|---|
2020 | 10.1145/3334480.3383057 | CHI '20: CHI Conference on Human Factors in Computing Systems
Honolulu
HI
USA
April, 2020 |
Keywords | DocType | ISBN |
Data-driven storytelling, Visualization sequencing, User preference adaptation | Conference | 978-1-4503-6819-3 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yu-Rong Cao | 1 | 0 | 0.68 |
| Jia-Yu Pan | 2 | 0 | 0.34 |
| Wen-Chieh Lin | 3 | 476 | 44.50 |