日本感性工学会論文誌
Online ISSN : 1884-5258
ISSN-L : 1884-0833

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入店を誘引する看板に必要な要素の基礎的考察
-テキストマイニングを用いた看板関連語の出現頻度分析とそのペトリネットモデル-
小山 雅明高橋 由樹鶴田 真理子長谷川 光司椎塚 久雄
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論文ID: TJSKE-D-17-00086

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The sign board (Kanban) is an important presence in order to let people know the existence of the object. Currently, the sign productions are done by experts with specific skills. What is the element of the sign to be found in many people? What factors of lurking on the sign? Many factors have been encapsulated in the sign board. In the past, the authors have proposed a method of evaluating a new signboard using the deviation value, fuzzy measure, Voronoi diagram, etc, with the signboard as one object in the field of traditional craftsmanship signboard production. In this paper, based on these results, we show the results of a video survey on how people behave at the site of actual signboard installation and people's reactions written by the text mining. From the results, this paper leads the elements of the signboard that attracts entrance and shows that it is the content that leads to the basic support of our scientific approach for the signboard. Also it is shown that it is possible to model by the Petri net as a discrete event system the process of a person looking at a sign and entering it.
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