TY - GEN
T1 - Kansei Engineering for E-Commerce Cantonese Porcelain Selection in China
AU - Ji, Yi
AU - Tan, Peng
AU - Chen, Szu Chi
AU - Duh, Henry Been Lirn
N1 - Funding Information:
Acknowledgments. This research was supported by the Guangzhou science and technology project. China (201802020011). The completion of this study benefited from the tireless efforts of every teacher and classmate in the project team. Special thanks for the technical support given from the research team of Professor Henry Been-Lirn Duh from La Trobe University.
Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Cantonese porcelain
KW - E-commerce
KW - Kansei engineering
KW - Recommender system
KW - Statistical kansei analysis
UR - http://www.scopus.com/inward/record.url?scp=85069662367&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-22646-6_34
DO - 10.1007/978-3-030-22646-6_34
M3 - Conference article published in proceeding or book
AN - SCOPUS:85069662367
SN - 9783030226459
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 463
EP - 474
BT - Human-Computer Interaction. Perspectives on Design - Thematic Area, HCI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings
A2 - Kurosu, Masaaki
PB - Springer Verlag
T2 - Thematic Area on Human Computer Interaction, HCI 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019
Y2 - 26 July 2019 through 31 July 2019
ER -