Reduce designers' workload: A parameterized e-commerce page method based on user visual preference experiment

With the increasing use of the Internet, visual designers have to complete amounts of interface design work, which brings heavy workload. Especially the promotional pages of e-commerce websites need to be continuously updated because of the requirements of commodity discount. Companies have begun to explore methods to optimize design process, like automatic generating, which could only provide monotonous layout pages without creativity. Inspired by these problems, we present a parameterized e-commerce page design tool (PEPDT) which can automatically generate e-commerce discount pages for designers based on two user-research experiments, and discuss about how to balance the creativity and automaticity. In the first experiment, we extracted the visual factors that can be parameterized (Study 1), and then studied which of the first experimental results influenced the user's visual preferences (Study 2) and used the resulting factors in the parameterized e-commerce page design tool (PEPDT) we designed. Compared to current automatic design methods of promotional pages, this tool provides more design variance, as well as efficiency.