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PivotPaths: Strolling through Faceted Information Spaces.

M Dork1, Nathalie Henry Riche, G Ramos

  • 1University of Calgary. mdoerk@ucalgary.ca

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Summary
This summary is machine-generated.

PivotPaths offers a novel interactive visualization for exploring complex data. This tool facilitates gradual transitions and visual paths, enhancing understanding of faceted information and encouraging discovery.

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Area of Science:

  • Information Visualization
  • Human-Computer Interaction
  • Data Exploration

Background:

  • Modern information resources feature multiple facets and relations (e.g., academic publications, movies).
  • Current navigation methods like filtering cause abrupt data subset changes, hindering comprehension of facet relationships and filter effects.

Purpose of the Study:

  • To introduce PivotPaths, an interactive visualization system for exploring faceted information resources.
  • To enable intuitive navigation and understanding of complex, interlinked data through visual paths and gradual transitions.

Main Methods:

  • Developed PivotPaths with pivot operations for lightweight, gradual view transitions.
  • Employed an iterative design-and-evaluation process.
  • Conducted semi-structured interviews and a two-week deployment with a large academic publication database.

Main Results:

  • PivotPaths exposes faceted relations as visual paths, facilitating a 'stroll' through information spaces.
  • The interface supports gradual transitions, aiding comprehension of filter operations and facet relationships.
  • User evaluation indicated an aesthetically pleasing design encouraging exploration and serendipitous discoveries.

Conclusions:

  • PivotPaths provides an effective and engaging method for exploring large, faceted information collections.
  • The visualization supports casual traversal and enhances the discovery of relationships within complex datasets.