Structure Analyses for Pictograms by using Self-Organizing Map (SOM)

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Other Title
  • 自己組織化マップ（SOM）を用いたピクトグラムの構造分析
  • - Case study for the Public Information Symbols of the Foundation for Promoting Personal Mobility and Ecological Transportation -
  • －交通エコロジー・モビリティ財団の標準案内用図記号を例に－

Description

This study aims to reveal the influence of the components on recognition rate for pictograms. The 87 public information symbols that were designed the Foundation for Promoting Personal Mobility and Ecological Transportation in Japan were analyzed by two types structures of formative structure and semantic structure, and were clustered by Self-Organizing Map (SOM). In this study, formative structure is consisted of five elements such as object, situation, function, movement and logo. Semantic structure is consisted of eight elements by semantic properties of referent such as the referent of pictogram, the vocabulary of referent, the meaning of pictogram, the number of figure, the semantic feature of figure and so on. At the results, it is determined that there are the particular structures that make high recognition rate or low recognition rate per each structure. It can support the design and the evaluation for public pictograms.

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