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Spatial legend compatibility within versus between graphs in multiple graph comprehension.

Eva Riechelmann1, Lynn Huestegge2

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Summary
This summary is machine-generated.

Spatial compatibility in graphs aids comprehension. This study found local data-legend compatibility is often better than global legend-legend compatibility for multiple graphs, especially with increased complexity.

Keywords:
Display designGraph comprehensionMultiple panelSpatial compatibilityVisual complexity

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Area of Science:

  • Information Visualization
  • Human-Computer Interaction
  • Cognitive Psychology

Background:

  • Spatial compatibility between graph data and legends enhances comprehension.
  • Multiple graphs can create conflicts between local (data-legend) and global (legend-legend) compatibility.

Purpose of the Study:

  • To determine whether local or global spatial compatibility is more critical for performance in multiple-graph comprehension.
  • To investigate the impact of graph complexity on the benefits of compatibility.

Main Methods:

  • Participants answered data-related questions by selecting line graphs from multiple panels.
  • Experiment varied compatibility type (local, global, incompatible) and number of graphs.
  • Two experiments used simple and complex graphs with varying numbers of lines/legend entries.

Main Results:

  • Compatibility significantly speeds up graph comprehension, particularly beyond a certain complexity threshold.
  • Local data-legend compatibility showed an advantage over global legend-legend compatibility under specific conditions.
  • Performance was influenced by both compatibility type and graph complexity.

Conclusions:

  • Compatibility principles are crucial for efficient information integration in graph comprehension.
  • Design of multiple-panel graphs should carefully consider local and global spatial compatibility.
  • Prioritizing local compatibility may be beneficial for complex multi-graph visualizations.