Premium
Optimization Design of a Webpage Based on Kansei Engineering
Author(s) -
Guo Fu,
Liu Wei Lin,
Cao Yaqin,
Liu Fan Tao,
Li Mei Lin
Publication year - 2015
Publication title -
human factors and ergonomics in manufacturing and service industries
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.408
H-Index - 39
eISSN - 1520-6564
pISSN - 1090-8471
DOI - 10.1002/hfm.20617
Subject(s) - kansei engineering , kansei , computer science , semantic differential , web page , key (lock) , the internet , human–computer interaction , interface (matter) , quality (philosophy) , user experience design , user interface , information retrieval , world wide web , multimedia , mathematics , philosophy , statistics , computer security , bubble , epistemology , maximum bubble pressure method , parallel computing , operating system
Webpage design has become an important component affecting user satisfaction when they surf the Internet. Interface designers are struggling to improve the quality of user experience by designing webpages that meet users’ emotional needs. An optimization design method of webpage interface is proposed in this study based on Kansei engineering theory, and a job‐hunting website homepage is taken as the research example. After determining the materials, the semantic differential (SD) method is used to extract user‐centered emotional dimensions, and the key design factors of homepages’ appearance are acquired. Next, based on the obtained semantic differential evaluation data, back propagation neural network (BPNN) is conducted to identify quantitative relations between key design factors and emotional dimensions. Finally, genetic algorithm (GA) is employed to search for a near‐optimal design. The proposed method is helpful to design webpages that can satisfy participants’ emotions. It can also be used in a variety of design cases.