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A Vector Field Design Approach to Animated Transitions

Yong Wang, Daniel Archambault Orcid Logo, Carlos E. Scheidegger, Huamin Qu

IEEE Transactions on Visualization and Computer Graphics, Volume: 24, Issue: 9, Pages: 2487 - 2500

Swansea University Author: Daniel Archambault Orcid Logo

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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...

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Published in: IEEE Transactions on Visualization and Computer Graphics
ISSN: 1077-2626
Published: 2017
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URI: https://cronfa.swan.ac.uk/Record/cronfa35167
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spelling 2023-02-08T14:10:57.2975973 v2 35167 2017-09-08 A Vector Field Design Approach to Animated Transitions 8fa6987716a22304ef04d3c3d50ef266 0000-0003-4978-8479 Daniel Archambault Daniel Archambault true false 2017-09-08 SCS 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. Journal Article IEEE Transactions on Visualization and Computer Graphics 24 9 2487 2500 1077-2626 31 12 2017 2017-12-31 10.1109/TVCG.2017.2750689 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University RGC GRF 16241916 AT&T Labs, NSF under award III-1513651 2023-02-08T14:10:57.2975973 2017-09-08T14:56:42.3165981 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Yong Wang 1 Daniel Archambault 0000-0003-4978-8479 2 Carlos E. Scheidegger 3 Huamin Qu 4 0035167-08092017150039.pdf animatedTransitionFinalSubVersion.pdf 2017-09-08T15:00:39.3600000 Output 4277928 application/pdf Accepted Manuscript true 2017-09-29T00:00:00.0000000 (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. true eng
title A Vector Field Design Approach to Animated Transitions
spellingShingle A Vector Field Design Approach to Animated Transitions
Daniel Archambault
title_short A Vector Field Design Approach to Animated Transitions
title_full A Vector Field Design Approach to Animated Transitions
title_fullStr A Vector Field Design Approach to Animated Transitions
title_full_unstemmed A Vector Field Design Approach to Animated Transitions
title_sort A Vector Field Design Approach to Animated Transitions
author_id_str_mv 8fa6987716a22304ef04d3c3d50ef266
author_id_fullname_str_mv 8fa6987716a22304ef04d3c3d50ef266_***_Daniel Archambault
author Daniel Archambault
author2 Yong Wang
Daniel Archambault
Carlos E. Scheidegger
Huamin Qu
format Journal article
container_title IEEE Transactions on Visualization and Computer Graphics
container_volume 24
container_issue 9
container_start_page 2487
publishDate 2017
institution Swansea University
issn 1077-2626
doi_str_mv 10.1109/TVCG.2017.2750689
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 1
active_str 0
description 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.
published_date 2017-12-31T03:43:40Z
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score 11.013619

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