主催: 一般社団法人 日本機械学会
会議名: 2019年度 年次大会
開催日: 2019/09/08 - 2019/09/11
In the field of design, innovative ideation at the upstream stage of design process has been becoming important for making people’s life and society better as well as for being industrially competitive. In this paper, the author proposes a framework of collaborative intelligence for innovative design ideation utilizing inspiration of human intelligence and systematicity of artificial intelligence. In the framework, structure (S), function (F) and user experience (UX) of existing characteristic design examples are described as a design delta map and stored in the database. A software exhaustively estimates similarity of S, F and UX among design examples and presents pairs of design examples which may effective to trigger human ideation such as a pair of design examples where F’s are not similar but UX’s are similar between them. A Python implementation of the framework and some results of trials are presented to estimate effectiveness of the framework.