Finding a Clear Path: Structuring Strategies for Visualization Sequences

Jessica Ruth Hullman, Robert Kosara, Heidi Lam

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)365-375
Number of pages11
JournalComputer Graphics Forum
Issue number3
StatePublished - Jun 2017


  • Categories and Subject Descriptors (according to ACM CCS)
  • H.5.2 [Information Interfaces and Presentation]: User Interfaces—Graphical User Interfaces (GUI)

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design


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