Shotaro Asai
Graduate School of Keio University, Japan
Yu Hirata
Graduate School of Keio University, Japan
Koichiro Sato
Keio University, Japan
Yoshiyuki Matsuoka
Graduate School of Keio University, Japan
Download article
Published in: KEER2014. Proceedings of the 5th Kanesi Engineering and Emotion Research; International Conference; Linköping; Sweden; June 11-13
Linköping Electronic Conference Proceedings 100:82, p. 969-985
Published: 2014-06-11
ISBN: 978-91-7519-276-5
ISSN: 1650-3686 (print), 1650-3740 (online)
Value Growth Design is a design based on a new design paradigm; Timeaxis Design; which incorporates the viewpoint of the time axis into the theory and methodology of design. Value Growth Design enables an object to increase in its practical value; such as its usability; and in its spiritual value; such as affection; the more it is used. This is antithetical to value decay design; seen in artifacts of mass production and mass consumption; which show a decrease in value over time. If such artifacts were able to adapt to the change of environment and the change of value based on the theory of Timeaxis Design; it is expected that their practical values and spiritual values would increase. This can enable artifacts to become appealing to human Kansei and allow users to possess a single artifact over a long range of time with strong affection. However; there are only few studies which have considered the application of Value Growth Design to actual design. Thus; in this research; a case study of existing value growing cases is carried out; followed by a cluster analysis and a discussion of the results which produce nine factors of value growth.
Matsuoka; Y. (2010). Design Science. Tokyo: Maruzen.
Matsuoka; Y. (2010). Multispace Design Model as Framework for Design Science towards Integration of
Design. Proceedings of the International Conference on Design Engineering and Science 2010. Tokyo:
Japan Society for Design Engineering.
Matsuoka; Y. (2012). Multispace Design Model Towards Integration between Industrial Design and
Engineering Design. Proceedings of Design Research Society 2012. Bangkok: Department of Industrial.
Design; Faculty of Architecture; Chulalongkorn University; Bangkok 10330.
Murakami; T. (2012). Cognitive neural model for expectation and Kansei. Proceedings of 22nd Conference of
the Japan Society of Mechanical Engineers. Design and Systems Division. Tokyo: Japan Society of
Mechanical Engineers.
Nagata; Y.; & Munechika; M. (2001). Entrance to Multivariate Statistics. Tokyo: Science Publishing Co Ltd.
