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Area of Science:

  • Visualizing scientific disciplines and their impact.
  • Exploring novel hexmap visualizations for science mapping.

Background:

  • Traditional network layouts for science maps are difficult for users to interpret.
  • Geospatial map familiarity suggests potential for landscape metaphors in science visualization.

Purpose of the Study:

  • To compare user performance with a novel landscape-themed hexmap versus a traditional network layout of the UCSD Map of Science.
  • To evaluate the impact of visualization metaphor on data recall and task efficiency.

Main Methods:

  • Two comparable visualizations of the UCSD Map of Science were created: a network layout and a hexmap.
  • The hexmap organized 554 subdisciplines into 13 color-coded disciplines, incorporating HITS metrics for impact.
  • Users performed memorization, search, and retrieval tasks using both interactive map versions.

Main Results:

  • No significant differences were found in user memorization accuracy between the network and hexmap visualizations.
  • Task performance, including search and retrieval, showed no significant variation across the two map types.
  • User interaction and data recall were comparable for both landscape and network-based science maps.

Conclusions:

  • The novel hexmap visualization did not outperform the traditional network layout in user recall or task efficiency.
  • Further research is required to determine optimal science visualization techniques that leverage user familiarity with geospatial maps.
  • Future work will explore refinements to the landscape metaphor and its application in science mapping.