This paper proposes a useful method to understand the relationship between web design elements, Kansei evaluation and users' emotions based on Kansei Engineering, taking E-commerce sites for example. Firstly it establishes customers' evaluation image words through a survey of the web interface preference. Then it collects the data of Kansei evaluation and users' emotions to different websites by an emotion assessment test. Lastly it builds the relation models between web design elements, Kansei evaluation and users' emotions using the quantification theory I and partial least squares (PLS) method, and confirms the validity of the models. © 2013 Springer-Verlag.
CITATION STYLE
Guo, F., Cao, Y., Wang, M., Ding, Y., & Liu, L. W. (2013). An interface design method for E-commerce sites’ homepage considering users’ emotions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8026 LNCS, pp. 30–39). https://doi.org/10.1007/978-3-642-39182-8_4
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