A Generative Vase Design System Based on Users' Visual Emotional Vocabulary

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 Kansei image vocabulary. This research features a Kansei vocabulary experiment in which critical form-related parameters of flower vases are imported into the Grasshopper platform for the creation of experimental samples that respond to user preferences in product forms. The outcomes of generative design system reflect consumers' perceptual needs, and the associated Kansei vocabulary can be deployed as vectors for executing formal modifications. Thus, designers and users can benefit from a faster, more straightforward, and more intuitive process to create product designs tailored to consumers' affective preferences.