Name
Title | ||
|---|---|---|
Visually exploring multivariate trends in patient cohorts using animated scatter plots |
Abstract | ||
|---|---|---|
The effectiveness of animation in visualization is an interesting research topic that led to contradicting results in the past. On top of that, we are facing three additional challenges when exploring patient cohorts: irregular sampling, data wear, and data sets covering different portions of time. We present TimeRider, an improved animated scatter plot for cohorts of diabetes patients that tackles these challenges along with its evaluation with physicians. Results show that animation does support physicians in their work and provide further domain-specific evidence in the discussion on the effectiveness of animation. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-21716-6_15 | HCI (19) |
Keywords | Field | DocType |
multivariate trend,patient cohort,diabetes patient,additional challenge,irregular sampling,domain-specific evidence,interesting research topic,different portion,improved animated scatter plot,support physician,animation,information visualization,set cover | Data set,Information visualization,Computer graphics (images),Multivariate statistics,Visualization,Computer science,Human–computer interaction,Animation,Sampling (statistics),Scatter plot | Conference |
Volume | ISSN | Citations |
6779 | 0302-9743 | 12 |
PageRank | References | Authors |
0.80 | 11 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alexander Rind | 1 | 39 | 2.38 |
| wolfgang aigner | 2 | 842 | 51.72 |
| Silvia Miksch | 3 | 2212 | 174.85 |
| Sylvia Wiltner | 4 | 58 | 4.57 |
| Margit Pohl | 5 | 204 | 24.42 |
| Felix Drexler | 6 | 30 | 1.90 |
| Barbara Neubauer | 7 | 12 | 0.80 |
| Nikolaus Suchy | 8 | 30 | 1.83 |