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Animated versus static views of steady flow patterns

Authors:

David H. Rogers,

James P. AhrensAuthors Info & Claims

SAP '16: Proceedings of the ACM Symposium on Applied Perception

Pages 77 - 84

https://doi.org/10.1145/2931002.2931012

Published: 22 July 2016 Publication History

Abstract

Two experiments were conducted to test the hypothesis that animated representations of vector fields are more effective than common static representations even for steady flow. We compared four flow visualization methods: animated streamlets, animated orthogonal line segments (where short lines were elongated orthogonal to the flow direction but animated in the direction of flow), static equally spaced streamlines, and static arrow grids. The first experiment involved a pattern detection task in which the participant searched for an anomalous flow pattern in a field of similar patterns. The results showed that both the animation methods produced more accurate and faster responses. The second experiment involved mentally tracing an advection path from a central dot in the flow field and marking where the path would cross the boundary of a surrounding circle. For this task the animated streamlets resulted in better performance than the other methods, but the animated orthogonal particles resulted in the worst performance. We conclude with recommendations for the representation of steady flow patterns.

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https://doi.org/10.1007/978-3-030-93186-5_6
Lobo MTelea AHurter C(2020)Feature Driven Combination of Animated Vector Field VisualizationsComputer Graphics Forum10.1111/cgf.1399239:3(429-441)Online publication date: 18-Jul-2020
https://doi.org/10.1111/cgf.13992
Cakmak ESchäfer HBuchmüller JFuchs JSchreck TJordan AKeim D(2020)MotionGlyphs: Visual Abstraction of Spatio‐Temporal Networks in Collective Animal BehaviorComputer Graphics Forum10.1111/cgf.1396339:3(63-75)Online publication date: 18-Jul-2020
https://doi.org/10.1111/cgf.13963
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Index Terms

Animated versus static views of steady flow patterns
1. Human-centered computing
  1. Visualization
    1. Empirical studies in visualization

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Published In

cover image ACM Conferences

SAP '16: Proceedings of the ACM Symposium on Applied Perception

July 2016

149 pages

ISBN:9781450343831

DOI:10.1145/2931002

Conference Chairs:
Eakta Jain
University of Florida
,
Sophie Joerg
Clemson University

Copyright © 2016 ACM.

© 2016 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of the United States government. As such, the United States Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 July 2016

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US Department of Energy

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SAP '16

Sponsor:

SIGGRAPH

SAP '16: ACM Symposium on Applied Perception 2016

July 22 - 23, 2016

California, Anaheim

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Overall Acceptance Rate 43 of 94 submissions, 46%

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ACM Symposium on Applied Perception 2024

August 30 - 31, 2024

Dublin , Ireland

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Cited By

Bruschke JWacker MNiebling F(2022)Comparing Methods to Visualize Orientation of Photographs: A User StudyResearch and Education in Urban History in the Age of Digital Libraries10.1007/978-3-030-93186-5_6(129-151)Online publication date: 11-Jan-2022
https://doi.org/10.1007/978-3-030-93186-5_6
Lobo MTelea AHurter C(2020)Feature Driven Combination of Animated Vector Field VisualizationsComputer Graphics Forum10.1111/cgf.1399239:3(429-441)Online publication date: 18-Jul-2020
https://doi.org/10.1111/cgf.13992
Cakmak ESchäfer HBuchmüller JFuchs JSchreck TJordan AKeim D(2020)MotionGlyphs: Visual Abstraction of Spatio‐Temporal Networks in Collective Animal BehaviorComputer Graphics Forum10.1111/cgf.1396339:3(63-75)Online publication date: 18-Jul-2020
https://doi.org/10.1111/cgf.13963
Stevens AWare CButkiewicz TRogers DAbram G(2020)Hairy Slices II: Depth Cues for Visualizing 3D Streamlines Through Cutting PlanesComputer Graphics Forum10.1111/cgf.1396039:3(25-35)Online publication date: 18-Jul-2020
https://doi.org/10.1111/cgf.13960
Kettunen POksanen J(2019)Motion of animated streamlets appears to surpass their graphical alterations in human visual detection of vector field maximaCartography and Geographic Information Science10.1080/15230406.2018.155311346:6(489-501)Online publication date: 10-Jan-2019
https://doi.org/10.1080/15230406.2018.1553113
Lange DSamsel FKaramouzas IGuy SDockter RKowalewski TKeefe DKozlíková BSchreck TWischgoll T(2017)Trajectory mapperProceedings of the Eurographics/IEEE VGTC Conference on Visualization: Short Papers10.2312/eurovisshort.20171141(103-107)Online publication date: 12-Jun-2017
https://dl.acm.org/doi/10.2312/eurovisshort.20171141
Rocha ASilva JAlim USousa MRink KMiddel AZeckzer DBujack R(2017)Multivariate visualization of oceanography data using decalsProceedings of the Workshop on Visualisation in Environmental Sciences10.2312/envirvis.20171101(31-35)Online publication date: 12-Jun-2017
https://dl.acm.org/doi/10.2312/envirvis.20171101

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