Journal of Product Design, Quality Engineering & Technology

Abstract

Kansei engineering is a technique that turns human emotions into mathematical measures and assists designers in developing new goods that fulfill the expectations of customers. Many studies have discovered forward and backward links between human sensations and design features using various soft computing methodologies, which is a standard Kansei engineering procedure. In this research, we introduced the Kansei engineering framework, which links not only human sentiments and design parts, but also the entire product, by creating association rules. In this experiment, we use semantic differentials to get input from the emotion score that participants assess after they see the entire product. Then, association rules are built to determine the mix of design elements that influences human emotion. The findings of our investigation show a pattern of association of design components based on human emotions that may be obtained from the entire product.

Keywords: - Association Rules Mining, Kansei Engineering, Product Design, Semantic Differentials