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

IF 3.1 2区工程技术 Q2 ENGINEERING, INDUSTRIAL

Applied Ergonomics Pub Date : 2025-03-18 DOI:10.1016/j.apergo.2025.104509

Chih-Feng Cheng, Chiuhsiang Joe Lin, Ching-Yu Lin

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引用次数: 0

Abstract

The perceived visual complexity of a website immediately and persistently impacts the user experience. However, existing visual complexity research methods in the literature are not suitable for agile website development, often associating visual complexity with website structure and requiring advanced programming skills and large participant samples. This study proposes an accessible, definition-independent method to evaluate website complexity using multiscale entropy analysis of physiological signals. Our results show that the multiscale entropy derived from physiological data can effectively differentiate websites with varying complexity levels, even with a small number of participants. This approach achieves robust and significant effects, enabling its simultaneous application with user experience assessment in the agile website development process. The proposed MSE-based method provides an objective, unified tool to evaluate visual complexity without the burden of defining and calculating visual complexity, allowing design teams to focus on the website itself during agile software development projects.

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来源期刊

Applied Ergonomics 工程技术-工程：工业

CiteScore

7.50

自引率

9.40%

发文量

248

审稿时长

53 days

期刊介绍： Applied Ergonomics is aimed at ergonomists and all those interested in applying ergonomics/human factors in the design, planning and management of technical and social systems at work or leisure. Readership is truly international with subscribers in over 50 countries. Professionals for whom Applied Ergonomics is of interest include: ergonomists, designers, industrial engineers, health and safety specialists, systems engineers, design engineers, organizational psychologists, occupational health specialists and human-computer interaction specialists.