Using statistical analysis & affective-engineering theory in web visual design

Chen Yuan Liu, Shih Wen Hsiao

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

Abstract

The purpose of this research is to infer the effect of web elements on web visual design. First, semantic differential Technique is applied to inquire the influence of web elements on website banner and content section and then we advance AE analysis of visual components properties of cognitive. At last, the statistical analysis is used to suggest web design reference. The paper presents a user interface design approach for web producers to lessen the process of figure out target audience perception and advocate an optimal decision making for the visual of website template design.

Original languageEnglish
Title of host publicationProceedings of the 2017 IEEE International Conference on Applied System Innovation
Subtitle of host publicationApplied System Innovation for Modern Technology, ICASI 2017
EditorsTeen-Hang Meen, Artde Donald Kin-Tak Lam, Stephen D. Prior
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1186-1189
Number of pages4
ISBN (Electronic)9781509048977
DOIs
Publication statusPublished - 2017 Jul 21
Event2017 IEEE International Conference on Applied System Innovation, ICASI 2017 - Sapporo, Japan
Duration: 2017 May 132017 May 17

Publication series

NameProceedings of the 2017 IEEE International Conference on Applied System Innovation: Applied System Innovation for Modern Technology, ICASI 2017

Other

Other2017 IEEE International Conference on Applied System Innovation, ICASI 2017
Country/TerritoryJapan
CitySapporo
Period17-05-1317-05-17

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Safety, Risk, Reliability and Quality
  • Mechanical Engineering
  • Media Technology
  • Health Informatics
  • Instrumentation

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