Abstract
This paper introduces the overall aspects in multiple Kansei images. Multiple Kansei images are assumed to be what people actually feel and tell in the real world. Several issues that designers need to concern themselves with when dealing with multiple Kansei in product form design are clarified. For better analyzing and understanding multiple Kansei images, Factor Analysis is applied to map an image space. This space explains the mutual relationships such as similarity, exclusiveness and independence among Kansei adjectives. Thus, appropriate Kansei adjectives that can fully portray a product form are figured out. In addition, this paper finds that existing products generally possess multiple Kansei images. It implies that multiple Kansei images not only can be felt and told by users but also are very practicable in designing product form. Lastly, by creating virtual product form with multiple Kansei images, the authors proved that product form cannot represent equally strong Kansei images. That is, the representation of strong Kansei images will inevitably affect each other in product form.
Keywords
multiple Kansei images, Kansei engineering, product form design
Citation
Chou, C., and Chen, K. (2006) Multiple Kansei Images in Product Form Design, in Friedman, K., Love, T., Côrte-Real, E. and Rust, C. (eds.), Wonderground - DRS International Conference 2006, 1-4 November, Lisbon, Portugal. https://dl.designresearchsociety.org/drs-conference-papers/drs2006/researchpapers/5
Multiple Kansei Images in Product Form Design
This paper introduces the overall aspects in multiple Kansei images. Multiple Kansei images are assumed to be what people actually feel and tell in the real world. Several issues that designers need to concern themselves with when dealing with multiple Kansei in product form design are clarified. For better analyzing and understanding multiple Kansei images, Factor Analysis is applied to map an image space. This space explains the mutual relationships such as similarity, exclusiveness and independence among Kansei adjectives. Thus, appropriate Kansei adjectives that can fully portray a product form are figured out. In addition, this paper finds that existing products generally possess multiple Kansei images. It implies that multiple Kansei images not only can be felt and told by users but also are very practicable in designing product form. Lastly, by creating virtual product form with multiple Kansei images, the authors proved that product form cannot represent equally strong Kansei images. That is, the representation of strong Kansei images will inevitably affect each other in product form.