2023 Fiscal Year Final Research Report
A study on product shape preferred by users based on quantification of visual informaton using induction field
| Project/Area Number |
19K04137
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 18030:Design engineering-related
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| Research Institution | Akita University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
中村 雅英 秋田大学, 名誉教授, 名誉教授 (60172441)
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| Project Period (FY) |
2019-04-01 – 2024-03-31
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| Keywords | 視覚の誘導場 / 階層分析法 / 感性評価 / 製品形状 |
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| Outline of Final Research Achievements |
The objective of this study was to extract numerical features of product shapes and to show the correlation with the Kansei evaluation results.The theory of "induction field of vision" was used to extract the numerical features of product shapes. In order to evaluate people's preferences of product shape Analytical Hierarchy Method was used. By finding correlations of two methods, it would be helpful in supporting the conceptual design stage of a product.
The study provided grayscale images of office chairs, automobiles, etc., and conducted a questionnaire to clarify the preferences of observers on product shapes. The, the correlation between the evaluation functions obtained from the distributions of induction field of vision and the Kansei evaluation results were calculated. The comparison results suggested that for products expected to be user-friendly, there is a negative correlation between the average strength of the induction field of vision and the preference of the observers.
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| Free Research Field |
設計工学
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| Academic Significance and Societal Importance of the Research Achievements |
一連の研究では，視覚の誘導場理論に基づき，画像から抽出した特徴量と，AHPを用いた感性評価結果との相関を求めた．再現性があり，解釈が可能な相関が認められた特徴量としては誘導場の平均値があげられる．その結果，オフィスチェア画像においては，各画像の総合重要度が負の相関を示し，自動車画像においては“個性的な”という評価項目における評価値と正の相関を示した．オフィスチェアにおいては，視線の集中を招かない画像が全体として印象が良く，自動車においては，視線の集中を招く画像が個性的であると評価されることになる．本研究の手法により，製品形状に対する評価を定量化することにより効率的な設計支援が可能となる．
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