Face Pareidolia on Product Modeling Based on Big Data Environment

WANG Shao-dong, XING Ya-long, ZHANG Xin-you

Packaging Engineering ›› 2022, Vol. 43 ›› Issue (18) : 240-246, 326.

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Packaging Engineering ›› 2022, Vol. 43 ›› Issue (18) : 240-246, 326. DOI: 10.19554/j.cnki.1001-3563.2022.18.028

Face Pareidolia on Product Modeling Based on Big Data Environment

  • WANG Shao-dong1, XING Ya-long2, ZHANG Xin-you3
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Abstract

The paper aims to explore whether the phenomenon of face pareidolia will affect the aesthetic satisfaction of product modeling. In the way of empirical research, the big data web crawler program was used to extract the semantic information of products, and the semantic difference subscale was constructed by word frequency analysis. Three groups of control experiments were established respectively, and the subjects were investigated by questionnaire. Finally, the three groups of experimental data were analyzed to draw the research conclusion. The experiment found that without considering the product price and function, the subjects' aesthetic preference was more inclined to the product shape that could cause the face pareidolia. The application of face pareidolia in product modeling design can attract the attention of online shopping consumers to a certain extent, convey the emotional characteristics of products, meet their functional and aesthetic needs, and have a positive impact on the aesthetic satisfaction of product modeling. The use of face pareidolia is an effective design way and method to meet the needs of users and improve the purchase intention of online shopping consumers.

Key words

face pareidolia; big data; web crawler; word frequency analysis; semantic difference component table

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WANG Shao-dong, XING Ya-long, ZHANG Xin-you. Face Pareidolia on Product Modeling Based on Big Data Environment[J]. Packaging Engineering. 2022, 43(18): 240-246, 326 https://doi.org/10.19554/j.cnki.1001-3563.2022.18.028
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