A novel webpage layout aesthetic evaluation model for quantifying webpage layout design

Hongyan Wan, Wanting Ji, Guoqing Wu, Xiaoyun Jia, Xue Zhan, Mengting Yuan, Ruili Wang

Research output: Journal PublicationArticlepeer-review

22 Citations (Scopus)

Abstract

It is widely accepted that webpage layout is important for website aesthetics. However, knowledge is limited about which kind of webpage layout is aesthetic. In this paper, we conduct a large-scale analysis of 13,017 real webpages with different aesthetic levels. The results demonstrate that there are significant differences between aesthetic webpages and non-aesthetic webpages in several aspects of layout design, such as the position of objects and the average number of objects. In order to identify whether the web layout is aesthetic, we propose a novel Webpage Layout Aesthetic Evaluation model (WLAE) based on an improved Adaboost algorithm to automatically predict the aesthetics of a webpage layout. Experimental results show that our WLAE model is significantly better than other existing methods. Based on the feature analysis of 13,017 real-world webpages and the contribution of each feature to webpage aesthetic prediction, we have summarized 4 webpage design principles for webpage designers. Besides, a large number of real webpages collected by our team can be used for further research on webpage layout aesthetic design and/or related research.

Original languageEnglish
Pages (from-to)589-608
Number of pages20
JournalInformation Sciences
Volume576
DOIs
Publication statusPublished - Oct 2021
Externally publishedYes

Keywords

  • Aesthetic evaluation
  • Feature extraction
  • Webpage aesthetics
  • Webpage layout design

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Theoretical Computer Science
  • Computer Science Applications
  • Information Systems and Management
  • Artificial Intelligence

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