車のエクステリアデザインにおける感性の定量評価方法

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2018/06/01

タイトル(英語): Study on Sensitivity Knowledge for Quantitative Evaluation Method to the Car Exterior Design

著者名: 加藤　拓巳（本田技研工業（株） ビジネス開発統括部 ビジネスアナリティクス課），津田　和彦（筑波大学大学院 ビジネス科学研究科）

著者名(英語): Takumi Kato (Business Analytics Section, Business Development Supervisory Unit, Honda Motor Co., Ltd.), Kazuhiko Tsuda (Graduate School of Business Sciences, University of Tsukuba)

キーワード: 意味的価値，デザイン工学，ディープラーニング，自然言語処理　　emotional value，design engineering，deep learning，natural language processing

要約(英語): In recent years, the manufacturing industry has seen a shift of the domain of competition from “performance” which can easily be expressed numerically to “design” which is hard to be expressed numerically. The rise of companies that focus on design, such as Apple, Samsung and IKEA, is remarkable. However, design presents two challenges for the manufacturing industry. The first one is sensory. It is very difficult to quantitatively evaluate, and unified evaluation indicators are not yet defined. The second one is confidentiality of product design. Design is in the position of top secret in companies, so large customer survey has high hurdles. The above two problems increase the influence of the evaluator’s experience and cause a situation that it is difficult to truly create a design desired by the customer. Therefore, the purpose of this research is to quantitatively and confidentially and inexpensively enable the evaluation of the sensitivity for automobile exterior design from the accumulated design and customer’s voice without surveying of target products.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.138 No.6 （2018） 特集：臨床・介護モニタリング研究の新展開

本誌掲載ページ: 712-719 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/138/6/138_712/_article/-char/ja/