A Generative Bottle Design System Based on Users' Touch Feelings

Designers or consumers cannot easily identify their preferred designs from such a large searching space of designs. Thus, the problem of this research is how designers or consumers generate designs based on their touch-feeling Kansei vocabularies. This research features a Kansei vocabulary experiment in which critical form-related parameters of bottles are imported into the Grasshopper platform for the creation of experimental samples that respond to user touch-feelings in product forms. The generative design system outcomes reflect consumers' tactile perceptual needs, and the associated Kansei vocabulary can be deployed as vectors for executing bottle modifications. Thus, designers and users can benefit from a faster, more straightforward, and more intuitive process to create product designs tailored to consumers' touch-feeling preferences.