Kansei Engineering for E-Commerce Cantonese Porcelain Selection in China

Yi Ji, Peng Tan, Szu Chi Chen, Henry Been Lirn Duh

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

5 Citations (Scopus)

Abstract

In online shopping experience of Cantonese Porcelain, customers are unable to touch, feel, take a close look at the details, and perceive the placement of the product. Therefore, the appearance of product is the most important factor to influence the users’ buying decision. Increasing the emotional appeal or Kansei generated from the product appearance would encourage product sales. This paper uses Kansei Engineering to identify design elements of Cantonese Porcelain that are emotional appealing to porcelain products as a case of research and design in China. Multivariate analysis is performed on the data to identify the affecting Kansei words and corresponding design elements. Finally, sample Cantonese Porcelain which contains the most influential design elements are presented as recommendation, and it will improve customer selection of porcelain products effectively in e-commerce in China.

Original languageEnglish
Title of host publicationHuman-Computer Interaction. Perspectives on Design - Thematic Area, HCI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings
EditorsMasaaki Kurosu
PublisherSpringer Verlag
Pages463-474
Number of pages12
ISBN (Print)9783030226459
DOIs
Publication statusPublished - 2019
Externally publishedYes
EventThematic Area on Human Computer Interaction, HCI 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019 - Orlando, United States
Duration: 26 Jul 201931 Jul 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11566 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceThematic Area on Human Computer Interaction, HCI 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019
Country/TerritoryUnited States
CityOrlando
Period26/07/1931/07/19

Keywords

  • Cantonese porcelain
  • E-commerce
  • Kansei engineering
  • Recommender system
  • Statistical kansei analysis

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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