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Applying multiscale entropy for evaluating website visual complexity in an agile project: Using physiological data.

Chih-Feng Cheng1, Chiuhsiang Joe Lin1, Ching-Yu Lin1

  • 1Department of Industrial Management, National Taiwan University of Science and Technology, No.43, Keelung Rd., Sec.4, Da'an Dist., Taipei City, 106335, Taiwan.

Applied Ergonomics
|March 19, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a new method to measure website visual complexity using physiological signals and multiscale entropy (MSE). This approach is accessible for agile development, offering an objective way to assess user experience.

Keywords:
Agile software developmentEye-trackingHeart rate variabilityMultiscale entropyUser experienceWebsite visual complexity

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Area of Science:

  • Human-Computer Interaction
  • Cognitive Science
  • Data Analysis

Background:

  • Website visual complexity significantly impacts user experience.
  • Current methods for assessing visual complexity are unsuitable for agile development, requiring complex calculations and large datasets.
  • Existing approaches often link complexity to website structure, limiting their applicability.

Purpose of the Study:

  • To propose an accessible, definition-independent method for evaluating website visual complexity.
  • To enable the integration of visual complexity assessment into agile website development workflows.
  • To provide an objective tool for design teams to focus on website design rather than complex calculations.

Main Methods:

  • Utilized multiscale entropy (MSE) analysis on physiological signals.
  • Developed a method that is independent of specific visual complexity definitions.
  • Employed a small sample size, making it suitable for agile environments.

Main Results:

  • Multiscale entropy derived from physiological data effectively differentiates websites with varying complexity levels.
  • The proposed method demonstrates robust and significant effects.
  • The approach is effective even with a small number of participants.

Conclusions:

  • The MSE-based method offers an objective and unified tool for evaluating website visual complexity.
  • This approach can be seamlessly integrated with user experience assessment in agile development.
  • It removes the burden of defining and calculating visual complexity, streamlining the design process.