Automatic digital mood boards to connect users and designers with kansei engineering

This article investigates the possibility of building a kansei engineering system that is based on rough set probability statistics and is capable of linking kansei words obtained from clients with images that can be continuously collected online. The result is a proposal for a new kansei engineering procedure that contains five cycles and captures users' opinions in all phases of the design process. A subset of real data is used in the application of this procedure to a consumer product, which demonstrates the feasibility of this kind of application. The article presents a complete theoretical model of this system and its procedures and algorithms, which enables the creation of automatic mood boards and connects designers to users' needs.
Source: International Journal of Industrial Ergonomics - Category: Occupational Health Source Type: research