A Method to Obtain Effective Attributes for Attractive Cosmetic Bottles by Deep Learning

IF 0.8 Q4 ENGINEERING, INDUSTRIAL International Journal of Affective Engineering Pub Date : 2020-01-01 DOI:10.5057/ijae.ijae-d-19-00001
Tipporn Laohakangvalvit, T. Achalakul, M. Ohkura
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引用次数: 2

Abstract

: Kansei values are critical factors for manufacturing. Kawaii, an adjective that denotes such positive meanings as cute or lovable, has become even more critical as a kansei value. Therefore, we believe that kawaii will be a key factor in future product design. We focus on systematic study for kawaii products in terms of such physical attributes as color, shape, and material perception. In this research, we proposed a method to obtain effective attributes for kawaii cosmetic bottles. First, we collected evaluation results of the kawaii of cosmetic bottle images and constructed a model using deep learning. Then we modified the images focusing on particular attributes and evaluated them using our model to obtain effective attributes. Finally, we verified those attributes by experimentally evaluating the modified images. The novelty of this research is our new method to obtain effective attributes, which can be applied to other products and other kansei values.
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一种基于深度学习的化妆品瓶身有效属性获取方法
感性值是制造的关键因素。Kawaii是一个形容词,表示可爱或可爱等积极意义,作为感性价值变得更加重要。因此,我们认为卡哇伊将是未来产品设计的关键因素。我们着重对卡哇伊产品的颜色、形状、材质感知等物理属性进行系统的研究。在本研究中,我们提出了一种获取卡哇伊化妆品瓶子有效属性的方法。首先,我们收集化妆品瓶子图像的kawaii评价结果,并利用深度学习构建模型。然后,我们针对特定属性对图像进行修改,并利用我们的模型对图像进行评估,以获得有效属性。最后,我们通过实验评估修改后的图像来验证这些属性。本研究的新颖之处在于我们获得有效属性的新方法,可以应用于其他产品和其他感性价值。
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