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Evaluating narrative visualization: a survey of practitioners.

Nina Errey1, Jie Liang1, Tuck Wah Leong1

  • 1School of Computer Science, University of Technology Sydney, 15 Broadway, Ultimo, NSW 2007 Australia.

International Journal of Data Science and Analytics
|June 26, 2023
PubMed
Summary
This summary is machine-generated.

Narrative visualization evaluation is often informal, relying on experience and peers. This study introduces a new heuristic framework to systematically guide practitioners in evaluating narrative visualizations.

Keywords:
Heuristic evaluationNarrative visualizationVisualization designVisualization evaluation

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Area of Science:

  • Data Visualization
  • Human-Computer Interaction
  • Information Science

Background:

  • Narrative visualization integrates data visualization and storytelling, posing unique evaluation challenges.
  • Current understanding of how practitioners evaluate narrative visualizations is limited.
  • Existing evaluation methods may not fully address the complexities of narrative visualization.

Purpose of the Study:

  • To investigate the current evaluation methods used by narrative visualization practitioners.
  • To identify challenges and novel approaches in narrative visualization evaluation.
  • To propose a systematic framework for evaluating narrative visualizations.

Main Methods:

  • Conducted a survey of experienced narrative visualization practitioners.
  • Performed semi-structured interviews to gain deeper insights into evaluation practices.
  • Developed a practice-led heuristic framework based on practitioner experience and literature.

Main Results:

  • Practitioners commonly employ informal evaluation methods, relying on personal experience and peer feedback.
  • Novel evaluation approaches were identified among practitioners.
  • A practice-led heuristic framework was developed to support systematic evaluation.

Conclusions:

  • The informal nature of current narrative visualization evaluation highlights a need for structured approaches.
  • The proposed heuristic framework offers a novel method for systematic evaluation.
  • This research bridges the gap between academic research and practical application in narrative visualization evaluation.