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Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
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Interactive visualizations for decision support: Application of Rasmussen's abstraction-aggregation hierarchy.

William B Rouse1, Michael J Pennock1, Mehrnoosh Oghbaie1

  • 1Center for Complex Systems and Enterprises, School of Systems and Enterprises, Stevens Institute of Technology, Hoboken, NJ 07030, USA.

Applied Ergonomics
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Summary

This study presents a methodology for designing interactive data visualizations for decision support. Evaluations in helicopter maintenance and automotive diagnostics show the approach effectively supports user decision-making.

Keywords:
Abstraction-aggregation hierarchyEnterprise diagnosticsInteractive visualizationsMaintenance

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Area of Science:

  • Human-Computer Interaction
  • Information Visualization
  • Decision Support Systems

Background:

  • Data visualization is increasingly important for researchers and practitioners.
  • Interactive visualizations enable users to infer, conclude, and make decisions, differing from static visualizations.
  • Interactive visualizations are crucial for decision support, addressing 'what if' scenarios.

Purpose of the Study:

  • To present a methodology for designing interactive visualizations tailored for decision support.
  • To evaluate the efficacy of the proposed methodology through real-world applications.

Main Methods:

  • The core methodology utilizes Jens Rasmussen's abstraction-aggregation hierarchy.
  • Two distinct applications were developed and evaluated: helicopter maintenance and enterprise diagnostics in the automobile industry.

Main Results:

  • The methodology was applied to interactive visualizations for helicopter maintenance tasks.
  • The methodology was also applied to "enterprise diagnostics" in the automobile industry, assessing brand failures.
  • Results from both applications were analyzed to determine the methodology's effectiveness.

Conclusions:

  • The proposed methodology provides a structured approach to designing effective interactive visualizations for decision support.
  • The successful applications in diverse fields like aviation maintenance and automotive diagnostics demonstrate the methodology's versatility and efficacy.