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Guide Me in Analysis: A Framework for Guidance Designers.

Davide Ceneda1, Natalia Andrienko2,3, Gennady Andrienko2,3

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|October 12, 2020
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Summary
This summary is machine-generated.

This study introduces a framework for designing effective guidance in visual analytics. It outlines phases and quality criteria for designers to create better analytical support tools.

Keywords:
GuidanceInformation VisualizationInteractionUser Interface DesignVisual AnalyticsVisualization

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Area of Science:

  • Visual Analytics
  • Human-Computer Interaction
  • Information Visualization

Background:

  • Guidance is crucial for efficient user analysis in visual analytics.
  • Current design approaches for guidance lack clarity and specific factors for effectiveness.
  • Understanding designer needs is key to developing robust guidance systems.

Purpose of the Study:

  • To propose a framework for designing guidance in visual analytics from a designer's perspective.
  • To identify key requirements and phases for effective guidance design.
  • To establish quality criteria for successful guidance solutions.

Main Methods:

  • Developed a framework for guidance design in visual analytics.
  • Defined specific phases and quality criteria for the design process.
  • Applied the framework to three analysis scenarios and conducted a design walk-through.

Main Results:

  • The proposed framework provides a structured approach for guidance designers.
  • Practical application demonstrated the framework's usability in real-world scenarios.
  • Identified emerging challenges and how the framework addresses them.

Conclusions:

  • The framework offers a systematic methodology for creating effective visual analytics guidance.
  • It aids designers in meeting user analytical goals and improving analysis success.
  • The framework supports the development of adaptable guidance solutions for future challenges.