Study on the Attraction and the Comprehensibility of Icons Using Rough Set

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Other Title
  • ラフ集合理論を用いたアイコンの魅力度と分かりやすさに関する研究

Description

By the spread of tablet in recent years, we can see a large variety of icons. However, the comprehensibility and the attraction of icons are different by the cognitive process and preference of the user. Therefore, we aimed to analyse the attraction and the comprehensibility of icons using the rough set in this study. Specifically, at first we investigated the attraction and comprehensibility of icons and extracted form elements (attribute values) to constitute icons. Next, we calculated decision rules of each subject using a rough set to clarify how the attribute values that we extracted influences the attraction and the comprehensibility. In addition, we classified subjects using cluster analysis by using co-occurrence rate between subjects with decision rules. Next, we extracted characteristic attribute values that subjects in each cluster felt attracted and comprehended. Finally we produced sample icons by using the characteristic attribute values and verified availability of these attribute values.

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Details 詳細情報について

  • CRID
    1390001205411779968
  • NII Article ID
    130005153804
  • DOI
    10.11247/jssdj.62.6_61
  • ISSN
    21865221
    09108173
  • Text Lang
    ja
  • Article Type
    journal article
  • Data Source
    • JaLC
    • CiNii Articles
    • KAKEN
  • Abstract License Flag
    Disallowed

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