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Comparing distributed knowledge: the effects of visualization format and comparison strategy on task performance.

Nicole Hynek1, Dietrich Albert1

  • 1Institute of Psychology, University of Graz, Graz, Austria.

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|February 26, 2026
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Summary
This summary is machine-generated.

Comparative knowledge visualizations aid teams by making distributed knowledge accessible. Superimposition designs improve comparison speed and accuracy, especially for complex tasks, enhancing collaborative work.

Keywords:
cognitive load theorycomparative knowledge visualizationconcept mapgroup knowledge integrationjuxtapositionproposition listsuperimpositionvisual comparison strategy

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Area of Science:

  • Human-Computer Interaction
  • Information Visualization
  • Collaborative Systems

Background:

  • Effective collaboration relies on accessible and comparable distributed knowledge.
  • Comparative knowledge visualizations present multiple knowledge profiles for easier information integration.
  • Understanding how design choices impact comparative visualization effectiveness is crucial.

Purpose of the Study:

  • To examine how comparative knowledge visualizations support understanding of distributed knowledge.
  • To investigate the impact of knowledge representation format and visual comparison strategy on user performance.
  • To determine how task complexity influences the effectiveness of different visualization designs.

Main Methods:

  • A 2x2x3 mixed-design experiment with 133 participants.
  • Manipulation of knowledge representation (concept maps vs. proposition lists) and comparison strategy (juxtaposition vs. superimposition).
  • Assessment of accuracy, response time, and perceived cognitive usability across varying task complexities.

Main Results:

  • Superimposition strategy led to faster responses and higher accuracy, particularly in complex tasks.
  • Knowledge representation format did not significantly impact performance.
  • Superimposition was rated better for group-level comparison, while juxtaposition aided individual knowledge identification.

Conclusions:

  • The effectiveness of comparative visualizations hinges on perceptual alignment and separation strategies.
  • Design choices should align with epistemic goals and task demands for optimal collaborative work.
  • Findings offer evidence-based guidance for designing effective comparative displays for shared and unshared knowledge identification.