Title: Optimal styling method of product appearance considering users' emotional preferences

Authors: Yonghua Li

Addresses: Academy of Fine Arts, Zhoukou Normal University, Henan, Zhoukou, China

Abstract: To improve user satisfaction with product styling, this paper proposes a product styling optimisation design method that takes into account user emotional preferences. Firstly, obtain a data set of target product shape image samples and classify the product shape image samples; secondly, based on the Apriori algorithm, obtain the frequent itemsets of the target product's shape image samples for users, and mine their perceptual preference features; once again, set the preference feature attribute content of the styling image samples, and classify the user's perceptual preference feature attributes based on Naive Bayes; finally, the fitness of each design scheme is calculated using the differential bee colony algorithm, and the product shape optimisation design is achieved through iterative optimisation. The experimental results show that using the proposed method, the user satisfaction rate is over 87%, and the user's product purchase intention score remains above 7 points. The application effect is good.

Keywords: emotional preferences; product appearance; Apriori algorithm; Naive Bayes differential bee colony algorithm.

DOI: 10.1504/IJPD.2024.143261

International Journal of Product Development, 2024 Vol.28 No.4, pp.272 - 287

Received: 08 Apr 2024
Accepted: 03 Oct 2024
Published online: 11 Dec 2024 *

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