Cross-cultural analysis of top page design among Brazilian, Chinese, Japanese and united states web sites

Toshihisa Doi, Atsuo Murata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The aim of present study was to reveal the differences of web design including cultural preference among the four countries that have different cultures. Twenty local municipal sites were randomly chosen from United States, Japan, China, and Brazil. The characteristics of these web sites was investigated from viewpoint of the following seven categories: (1) text, (2) layout, (3) navigation, (4) multimedia, (5) links, (6) items location, (7) color. When the web site had each factor, the researcher gave a “1” for that factor. Chi-square goodness-of-fit test was performed to compare the percentage of “0” or “1” of each factor among the four countries. Additionally, the correspondence analysis was performed to grasp the characteristics of each country. The characteristics of the top page design of the four countries were grasped based on these analyses.

Original languageEnglish
Title of host publicationAdvances in Social and Occupational Ergonomics - Proceedings of the AHFE 2019 International Conference on Social and Occupational Ergonomics
EditorsAtsuo Murata, Richard H.M. Goossens
PublisherSpringer Verlag
Pages609-620
Number of pages12
ISBN (Print)9783030201449
DOIs
Publication statusPublished - 2020
EventAHFE International Conference on Social and Occupational Ergonomics, 2019 - Washington D.C., United States
Duration: Jul 24 2019Jul 28 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume970
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceAHFE International Conference on Social and Occupational Ergonomics, 2019
Country/TerritoryUnited States
CityWashington D.C.
Period7/24/197/28/19

Keywords

  • Appearance
  • Cultural difference
  • Cultural usability
  • Web design

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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