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Affective Colormap Design for Accurate Visual Comprehension in Industrial Tomography.

Yuchong Zhang1, Morten Fjeld1, Marco Fratarcangeli1

  • 1Department of Computer Science and Engineering, Chalmers University of Technology, SE-41296 Gothenburg, Sweden.

Sensors (Basel, Switzerland)
|July 24, 2021
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Summary

Choosing the right colormaps for industrial microwave tomography (MWT) improves operator accuracy. Affective responses to colormaps, especially positive-exciting ones, enhance visual comprehension in MWT tasks.

Keywords:
affective colormap designcrowdsourced studyhuman perceptionmicrowave tomographyvisualization

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Area of Science:

  • * Data Visualization
  • * Human-Computer Interaction
  • * Industrial Imaging

Background:

  • * Effective colormap design is crucial for accurate visual comprehension in safety-critical applications like industrial microwave tomography (MWT).
  • * Understanding the affective responses elicited by colormaps can optimize their utility for operators.
  • * Previous research has not specifically focused on colormap selection for MWT based on affective and performance metrics.

Purpose of the Study:

  • * To identify colormaps that promote optimal affective responses and enhance visual comprehension for industrial microwave tomography (MWT) segmentation tasks.
  • * To quantitatively analyze the performance of frequently used colormaps in MWT.
  • * To develop a guideline for designing effective colormaps for MWT.

Main Methods:

  • * Quantitative analysis of 11 colormaps on an MWT segmentation task.
  • * Crowdsourced study to assess affective responses using a valence-arousal grid.
  • * Participant ratings on colormap accuracy for MWT segmentation.

Main Results:

  • * Three colormaps were identified as best suited for MWT tasks.
  • * Colormaps eliciting positive-exciting affective responses led to more accurate visual comprehension.
  • * A synthetic colormap design guideline was proposed based on the findings.

Conclusions:

  • * Colormap selection significantly impacts visual comprehension and decision-making in MWT.
  • * Integrating affective response assessment into colormap evaluation is beneficial for optimizing performance.
  • * The proposed guideline can aid in the development of superior colormaps for industrial tomography.