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Animation, Small Multiples, and the Effect of Mental Map Preservation in Dynamic Graphs

D Archambault, H Purchase, B Pinaud, Daniel Archambault Orcid Logo

IEEE Transactions on Visualization and Computer Graphics, Volume: 17, Issue: 4, Pages: 539 - 552

Swansea University Author: Daniel Archambault Orcid Logo

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DOI (Published version): 10.1109/TVCG.2010.78

Abstract

In this paper, we present the results of a human computer interaction experiment that compared the performance of the animation of dynamic graphs to the presentation of small multiples and the effect that mental map preservation had on the two conditions. Questions used in the experiment were select...

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Published in: IEEE Transactions on Visualization and Computer Graphics
ISSN: 1077-2626
Published: 2011
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URI: https://cronfa.swan.ac.uk/Record/cronfa13909
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first_indexed 2013-07-23T12:11:18Z
last_indexed 2018-02-09T04:44:58Z
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spelling 2015-07-01T12:44:34.0017901 v2 13909 2013-01-18 Animation, Small Multiples, and the Effect of Mental Map Preservation in Dynamic Graphs 8fa6987716a22304ef04d3c3d50ef266 0000-0003-4978-8479 Daniel Archambault Daniel Archambault true false 2013-01-18 SCS In this paper, we present the results of a human computer interaction experiment that compared the performance of the animation of dynamic graphs to the presentation of small multiples and the effect that mental map preservation had on the two conditions. Questions used in the experiment were selected to test both local and global properties of graph evolution over time. The data sets used in this experiment were derived from standard benchmark data sets of the information visualization community.We found that small multiples gave significantly faster performance than animation overall and for each of our five graph comprehension tasks. In addition, small multiples had significantly more errors than animation for the tasks of determining sets of nodes or edges added to the graph during the same timeslice, although a positive time-error correlation coefficient suggests that, in this case, faster responses did not lead to more errors. This result suggests that, for these two tasks, animation is preferable if accuracy is more important than speed. Preserving the mental map under either the animation or the small multiples condition had little influence in terms of error rate and response time. Journal Article IEEE Transactions on Visualization and Computer Graphics 17 4 539 552 1077-2626 Dynamic graph drawing, animation, evaluation, mental map preservation, small multiples 30 4 2011 2011-04-30 10.1109/TVCG.2010.78 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2015-07-01T12:44:34.0017901 2013-01-18T12:19:48.1261718 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science D Archambault 1 H Purchase 2 B Pinaud 3 Daniel Archambault 0000-0003-4978-8479 4
title Animation, Small Multiples, and the Effect of Mental Map Preservation in Dynamic Graphs
spellingShingle Animation, Small Multiples, and the Effect of Mental Map Preservation in Dynamic Graphs
Daniel Archambault
title_short Animation, Small Multiples, and the Effect of Mental Map Preservation in Dynamic Graphs
title_full Animation, Small Multiples, and the Effect of Mental Map Preservation in Dynamic Graphs
title_fullStr Animation, Small Multiples, and the Effect of Mental Map Preservation in Dynamic Graphs
title_full_unstemmed Animation, Small Multiples, and the Effect of Mental Map Preservation in Dynamic Graphs
title_sort Animation, Small Multiples, and the Effect of Mental Map Preservation in Dynamic Graphs
author_id_str_mv 8fa6987716a22304ef04d3c3d50ef266
author_id_fullname_str_mv 8fa6987716a22304ef04d3c3d50ef266_***_Daniel Archambault
author Daniel Archambault
author2 D Archambault
H Purchase
B Pinaud
Daniel Archambault
format Journal article
container_title IEEE Transactions on Visualization and Computer Graphics
container_volume 17
container_issue 4
container_start_page 539
publishDate 2011
institution Swansea University
issn 1077-2626
doi_str_mv 10.1109/TVCG.2010.78
college_str Faculty of Science and Engineering
hierarchytype
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 0
active_str 0
description In this paper, we present the results of a human computer interaction experiment that compared the performance of the animation of dynamic graphs to the presentation of small multiples and the effect that mental map preservation had on the two conditions. Questions used in the experiment were selected to test both local and global properties of graph evolution over time. The data sets used in this experiment were derived from standard benchmark data sets of the information visualization community.We found that small multiples gave significantly faster performance than animation overall and for each of our five graph comprehension tasks. In addition, small multiples had significantly more errors than animation for the tasks of determining sets of nodes or edges added to the graph during the same timeslice, although a positive time-error correlation coefficient suggests that, in this case, faster responses did not lead to more errors. This result suggests that, for these two tasks, animation is preferable if accuracy is more important than speed. Preserving the mental map under either the animation or the small multiples condition had little influence in terms of error rate and response time.
published_date 2011-04-30T03:15:54Z
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score 11.036006

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