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Finding a Clear Path: Structuring Strategies for Visualization Sequences.

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Title: Finding a Clear Path: Structuring Strategies for Visualization Sequences.
Authors: Hullman, Jessica1, Kosara, Robert2, Lam, Heidi2
Source: Computer Graphics Forum. Jun2017, Vol. 36 Issue 3, p365-375. 11p.
Subjects: Visualization, Sequential scheduling, Thematic maps, Aggregation (Statistics), Implication (Logic)
Abstract: Little is known about how people structure sets of visualizations to support sequential viewing. We contribute findings from several studies examining visualization sequencing and reception. In our first study, people made decisions between various possible structures as they ordered a set of related visualizations (consisting of either bar charts or thematic maps) into what they considered the clearest sequence for showing the data. We find that most people structure visualization sequences hierarchically: they create high level groupings based on shared data properties like time period, measure, level of aggregation, and spatial region, then order the views within these groupings. We also observe a tendency for certain types of similarities between views, like a common spatial region or aggregation level, to be seen as more appropriate categories for organizing views in a sequence than others, like a common time period or measure. In a second study, we find that viewers' perceptions of the quality and intention of different sequences are largely consistent with the perceptions of the users who created them. The understanding of sequence preferences and perceptions that emerges from our studies has implications for the development of visualization authoring tools and sequence recommendations for guided analysis. [ABSTRACT FROM AUTHOR]
Copyright of Computer Graphics Forum is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Finding a Clear Path: Structuring Strategies for Visualization Sequences.
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  Data: <searchLink fieldCode="JN" term="%22Computer+Graphics+Forum%22">Computer Graphics Forum</searchLink>. Jun2017, Vol. 36 Issue 3, p365-375. 11p.
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  Data: <searchLink fieldCode="DE" term="%22Visualization%22">Visualization</searchLink><br /><searchLink fieldCode="DE" term="%22Sequential+scheduling%22">Sequential scheduling</searchLink><br /><searchLink fieldCode="DE" term="%22Thematic+maps%22">Thematic maps</searchLink><br /><searchLink fieldCode="DE" term="%22Aggregation+%28Statistics%29%22">Aggregation (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Implication+%28Logic%29%22">Implication (Logic)</searchLink>
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  Data: Little is known about how people structure sets of visualizations to support sequential viewing. We contribute findings from several studies examining visualization sequencing and reception. In our first study, people made decisions between various possible structures as they ordered a set of related visualizations (consisting of either bar charts or thematic maps) into what they considered the clearest sequence for showing the data. We find that most people structure visualization sequences hierarchically: they create high level groupings based on shared data properties like time period, measure, level of aggregation, and spatial region, then order the views within these groupings. We also observe a tendency for certain types of similarities between views, like a common spatial region or aggregation level, to be seen as more appropriate categories for organizing views in a sequence than others, like a common time period or measure. In a second study, we find that viewers' perceptions of the quality and intention of different sequences are largely consistent with the perceptions of the users who created them. The understanding of sequence preferences and perceptions that emerges from our studies has implications for the development of visualization authoring tools and sequence recommendations for guided analysis. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Computer Graphics Forum is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1111/cgf.13194
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      – Code: eng
        Text: English
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        PageCount: 11
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      – SubjectFull: Visualization
        Type: general
      – SubjectFull: Sequential scheduling
        Type: general
      – SubjectFull: Thematic maps
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      – SubjectFull: Aggregation (Statistics)
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      – SubjectFull: Implication (Logic)
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      – TitleFull: Finding a Clear Path: Structuring Strategies for Visualization Sequences.
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              Text: Jun2017
              Type: published
              Y: 2017
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