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Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study
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User Comprehension of Complexity Design Graph Reports.

Rita Francese1, Maria Frasca1, Michele Risi1

  • 1Department of Computer Science, University of Salerno, Fisciano, Italy.

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Summary
This summary is machine-generated.

The Complexity Design (CoDe) methodology and its CoDe Graphs enhance data interpretation from large databases. This visualization technique improves decision-makers' effectiveness and efficiency in understanding complex dashboard reports.

Keywords:
Big Datadata analysisdata visualizationdata warehouseempirical evaluation

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Area of Science:

  • Information Visualization
  • Data Science
  • Human-Computer Interaction

Background:

  • Decision makers frequently interpret data from large multidimensional databases.
  • Dashboard diagrams are commonly used for data representation, but can be complex.
  • Existing methods for evaluating graphical representation comprehensibility are varied.

Purpose of the Study:

  • To introduce the Complexity Design (CoDe) methodology for modeling graphical reports.
  • To propose a classification of approaches for evaluating graphical representation comprehensibility.
  • To evaluate the comprehensibility of CoDe Graphs for dashboard reports.

Main Methods:

  • Developed the CoDe methodology integrating dashboard charts with logical relationships.
  • Generated CoDe Graphs by linking dashboard diagrams with conceptual links.
  • Conducted a controlled experiment with 47 participants to assess CoDe Graph comprehensibility.

Main Results:

  • CoDe Graphs were evaluated against traditional dashboard reports.
  • Participants demonstrated reduced effort in comprehension tasks using CoDe Graphs.
  • Effectiveness and efficiency in understanding dashboard reports were improved with CoDe Graphs.

Conclusions:

  • CoDe Graphs offer a more effective and efficient method for interpreting complex data.
  • The CoDe methodology provides a valuable technique for visualizing data warehouse information.
  • This study validates the benefits of integrated visualizations for decision support.