Journal article 1239 views 196 downloads
A Vector Field Design Approach to Animated Transitions
,
Carlos E. Scheidegger,
Huamin Qu
IEEE Transactions on Visualization and Computer Graphics, Volume: 24, Issue: 9, Pages: 2487 - 2500
Swansea University Author:
Daniel Archambault
-
PDF | Accepted Manuscript
(c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Download (4.12MB)
DOI (Published version): 10.1109/TVCG.2017.2750689
Abstract
Animated transitions can be effective in explaining and exploring a small number of visualizations where there are drastic changes in the scene over a short interval of time. This is especially true if data elements cannot be visually distinguished by other means. Current research in animated transi...
| Published in: | IEEE Transactions on Visualization and Computer Graphics |
|---|---|
| ISSN: | 1077-2626 |
| Published: |
2017
|
| Online Access: |
Check full text
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa35167 |
| Abstract: |
Animated transitions can be effective in explaining and exploring a small number of visualizations where there are drastic changes in the scene over a short interval of time. This is especially true if data elements cannot be visually distinguished by other means. Current research in animated transitions has mainly focused on linear transitions (all elements follow straight line paths) or enhancing coordinated motion through bundling of linear trajectories. In this paper, we introduce animated transition design, a technique to build smooth, non-linear transitions for clustered data with either minimal or no user involvement. The technique is flexible and simple to implement, and has the additional advantage that it explicitly enhances coordinated motion and can avoid crowding, which are both important factors to support object tracking in a scene. We investigate its usability, provide preliminary evidence for the effectiveness of this technique through metric evaluations and user study and discuss limitations and future directions. |
|---|---|
| College: |
Faculty of Science and Engineering |
| Issue: |
9 |
| Start Page: |
2487 |
| End Page: |
2500 |