人間の感性のデータ・ベースを応用したインダストリアル・デザインの試み

書誌事項

タイトル別名
  • Industrial Design Experiment Using a Database on Human Sensitivity
  • ニンゲン ノ カンセイ ノ データ ベース オ オウヨウ シタ インダストリアル デザイン ノ ココロミ

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110003483580

In this research,a database on the characteristics of human sensitivity to certain images was prepared as basic research on kansei engineering(sensory or sensitivity engineering),which is an engineering approach to the kind of merchandising that brings pleasure and satisfaction to people. Kansei engineering analyzes human sensitivity and integrates those results into the design of merchandise. The purpose is to investigate and report whether products designed based on the sensitivity characteristics database embodied those images clearly. In this report,test subjects were asked to give answers about the characteristics of their sensitivity to each of the following images:"elegance,""neatness,""gorgeousness,"and"freshness." Then coffee cups were designed based on the obtained database so that the respective images could be embodied,and they were shown to the test subjects so as to ask them what kind of images they received. As a result of the investigation,the following conclusions were made: 1) For"elegance"and"gorgeousness,"69% of the test subjects replied that their images of"elegance"were embodied in the merchandise,while 77% replied that their images of"gorgeousness"were embodied in the merchandise. Therefore,it was quite clear that the merchandise was made according to their images, partly because the images of"elegance"and"gorgeousness"had a strong impact. 2) For"neatness"and"freshness,"57% of the test subjects replied that their images of"neatness"were embodied in the merchandise,while 55% replied that their images of"freshness"were embodied in the merchandise. The results reflected ambiguity,partly because the very images of"neatness"and"freshness" had a weak impact. 3) This report indicates that products that satisfy people's needs can be manufactured by accumulating a database on human sensitivity and applying the database to manufacturing.

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