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The analysis method focusing on peaks of darkness for the impression evaluation method by space

机译:分析方法专注于空间对印模评估方法的黑暗峰

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This paper proposes an analysis method of the evaluation results obtained through the Impression Evaluation Method by Space (IEMS). The IEMS uses a plane containing impression words as the Kansei space. The impression of an object is specified by circling the areas matching the impression. The degree of matching the impression is expressed by painting color. As the impression words can be moved and/or added in the IEMS, it is difficult to analyze the evaluation results obtained from many subjects. The proposed analysis method focuses on the peaks of darkness. It is called the analysis method focusing on the peaks of darkness (abbr. AM_PD). By mapping the peaks of the darkness in each evaluation result to the same Kansei space, this method can analyze characteristic impressions. In this paper, the algorithm of extracting obvious peaks automatically is proposed toward realization of the AM_PD. The parameters of the AM_PD required to extract the obvious peaks are experimentally determined. This paper shows that the obvious peaks in the evaluation results can be extracted by using this algorithm.
机译:本文提出了一种通过空间(IEM)通过印象评估方法获得的评估结果的分析方法。 IEMS使用包含印象单词作为Kansei空间的平面。通过缠绕匹配印象的区域来指定对象的印象。匹配程度的印象是通过涂漆颜色表示的。由于可以在IEM中移动和/或添加印模词,难以分析从许多受试者获得的评估结果。所提出的分析方法侧重于黑暗的峰值。它被称为专注于黑暗峰的分析方法(ABBR。AM_PD)。通过将每个评估结果中的黑暗的峰值映射到相同的Kansei空间,这种方法可以分析特征印象。在本文中,建议自动提取明显峰的算法对AM_PD实现。实验确定提取明显峰所需的AM_PD的参数。本文表明,通过使用该算法可以提取评估结果中的明显峰。

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