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Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior
09:49

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Published on: April 16, 2014

Mental models, visual reasoning and interaction in information visualization: a top-down perspective.

Zhicheng Liu1, John T Stasko

  • 1Georgia Institute of Technology, USA. zliu6@gatech.edu

IEEE Transactions on Visualization and Computer Graphics
|October 27, 2010
PubMed
Summary
This summary is machine-generated.

This study explores mental models and their relationship with external visualizations in information visualization (InfoVis). It proposes interaction as active modeling for cognitive support, aiding understanding and decision-making.

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Area of Science:

  • Cognitive Science
  • Human-Computer Interaction
  • Information Visualization

Background:

  • Limited understanding of internal representations in information visualization (InfoVis).
  • Need to clarify the relationship between internal (mental models) and external visualizations.
  • Investigating the role of interaction in cognitive processes during visualization use.

Purpose of the Study:

  • Identify and illustrate mental models as a key internal representation.
  • Outline the relationship between mental models and external visualizations.
  • Frame interaction as active modeling to support reasoning.

Main Methods:

  • Conceptual framework development.
  • Top-down perspective on reasoning as model construction and simulation.
  • Analysis of interaction's role in visualization-based reasoning.

Main Results:

  • Mental models are central to understanding visualization's cognitive role.
  • Interaction serves as active modeling for external anchoring, information foraging, and cognitive offloading.
  • Visualization aids model-based reasoning through interaction.

Conclusions:

  • Proposes a model-based reasoning framework for InfoVis.
  • Highlights interaction's significance for cognitive support in visualization.
  • Offers implications for designing, evaluating, and theorizing InfoVis systems.