Abstract

Websites become a necessity in helping users to first see the information and content of a product/service offered. Therefore, the development of a website to help small businesses/industries becomes a necessity to help customers get information related to the products/services offered. Marketing product websites has become a necessity today, given that technological advancements have led users to focus more on online purchases. Website design plays a crucial role in enhancing user experience and product marketability more effectively. The aim of this study is to find the optimal combination of design elements for website design according to different user perceptions, so that a reasonable optimization reference based on user perceptions can be provided. Through Kansei Engineering methods and neural network modeling, this study measures and predicts users' perceptions of various website design forms for product marketing. Overall, this study provides conceptual and methodological support for research on the emotional design of human-computer interaction interfaces, as well as supplements existing theories of website design for product marketing. The findings of this study can serve as feedback to website developers for product marketing and related design practitioners to help them improve website design.

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