A Mechanism of KANSEI (sensitivity) Evaluation of 3D Shape Primitives for Development of an Aesthetics Design Support System of Civil Infrastructures

Abstract

In general, the landscape evaluation of civil infrastructures is done based on the approach which intends to link the KANSEI (sensitivity) evaluation of the whole landscape and dimensions of structures and natural environments. In this research, we focused on the details and propose a new approach, which intends to link the dimensions of 3D shape primitives and the KANSEI information of people watching the shapes and to cluster similar shapes in terms of KANSEI by using questionnaires and the fuzzy set theory. We applied this method to cone primitives and performed questionnaire and analysis. In addition, we designed a system which shows appropriate 3D primitives corresponding to the request of a designer and which has a machine learning mechanism for individual designers. We discussed the application of this methodology to lighting installations of a dam.