Title :
An exploratory study on “cross-inference method” for supporting idea generation process of industrial designers
Author :
Noguchi, Hisataka
Author_Institution :
Dept. of Ind. Design, Chiba Univ., Japan
Abstract :
In the early stages of an industrial design process, existing concepts can be obstacles for generating fresh ideas. A computer assisted method to find a way out from this situation is proposed. Firstly, two groups of different type products (products “A” and “B”) should be chosen, with the consideration that they have some kind of common components which realize their functions. Then the patterns of relationship between design concepts and elements of form of type “A” products are learned in a neural network to make a model to infer form of A (named A model). The same process is conducted for type “B” products to make B model. Subsequently, for obtaining a new pattern of the elements of form, put a concept pattern of the product “A” into the B model, and vice versa. Then an unforeseen concept form relation, leading to a feasible new idea, can be got by this method. A case study in a student project are shown
Keywords :
design engineering; idea processors; inference mechanisms; intelligent design assistants; learning (artificial intelligence); computer assisted method; cross-inference method; idea generation process; industrial designers; neural network; Design engineering; Design methodology; Electronic mail; Expert systems; Humans; Industrial relations; Intelligent systems; Neural networks; Process design; Product design;
Conference_Titel :
Knowledge-Based Intelligent Electronic Systems, 1998. Proceedings KES '98. 1998 Second International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-4316-6
DOI :
10.1109/KES.1998.725874