感性の多様性を考慮した感性品質の定量化手法 : 製品音の設計における感性品質の定量化への適用(機械要素,潤滑,工作,生産管理など)  [in Japanese] Quantification Method of Product Emotional Quality Considering Its Diversity : Application to Quantification of Emotional Quality in Product Sound Design(Machine Elements and Manufacturing)  [in Japanese]

Abstract

This paper describes a new quantification method of a product's emotional quality, which we call kansei quality, with attention paid to its diversity to support the affective design. The customer's sensitivity towards such a quality differs from person to person due to perception gaps and ambiguity. The proposed method helps the designer to grasp such diverse sensitivities of customers. In contrast to the conventional approach that aims to generalize human sensitivity using average results of sensory tests, the proposed method divides an emotional quality based on differences among the customers' sensitivity. We apply the proposed method for designing a machine sound in which the designer deals with the sound quality as a kansei quality. We carry out an impression evaluation experiment on human subjects using existing product sounds. To demonstrate the effectiveness of the method, we compare the proposed method with the conventional approach using experimental results. The comparison results show the advantages of the method, such as the avoidance of meaningless average data caused by canceling out multiple different sensitivities. Based on the proposed method, we developed a prototype system that enables the designer to evaluate the kansei qualities of created sound without conducting a sensory test.

Journal

Transactions of the Japan Society of Mechanical Engineers. C   [List of Volumes]

Transactions of the Japan Society of Mechanical Engineers. C 74(746), 2607-2616, 2008-10-25  [Table of Contents]

The Japan Society of Mechanical Engineers

References:  13

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Cited by:  4

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Codes

  • NII Article ID (NAID) :
    110006967455
  • NII NACSIS-CAT ID (NCID) :
    AN00187463
  • Text Lang :
    JPN
  • Article Type :
    Journal Article
  • ISSN :
    03875024
  • NDL Article ID :
    9695931
  • NDL Source Classification :
    ZN11(科学技術--機械工学・工業)
  • NDL Call No. :
    Z16-1056
  • Databases :
    CJP  CJPref  NDL  NII-ELS