基于KE-PSO-SVR模型感性意向座椅设计及其适用性研究

汤繁稀; 杨钦; 高尚卿

doi:10.19554/j.cnki.1001-3563.2025.12.045

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包装工程（设计栏目） ›› 2025, Vol. 46 ›› Issue (12) : 449-459. DOI: 10.19554/j.cnki.1001-3563.2025.12.045

设计研讨

基于KE-PSO-SVR模型感性意向座椅设计及其适用性研究

汤繁稀¹, 杨钦², 高尚卿^2*

作者信息 +

Perceptual Intention Seat Design and Its Applicability Based on KE-PSO-SVR Model

TANG Fanxi¹, YANG Qin², GAO Shangqing^2*

Author information +

文章历史 +

摘要

目的运用新的设计研究框架,结合机器学习算法为座椅设计提供可持续设计方法指导。方法量化座椅特性和使用者的情感认知,运用感性工学（KE）在两者之间建立起清晰的映射联系。随后,采用PSO-SVR（优化粒子群算法的支持向量回归）模型,深入探索座椅特征与用户情感认知间的非线性关联,拟合最佳曲线。最后基于训练完成的模型进行实验,以精确预测用户的情感认知。结果以KE-PSO-SVR模型设计的座椅,可精准高效地捕捉用户认知与座椅特征间的非线性联系,能够更加有效贴合设计需求,提升用户满意度。结论此设计模型为家具设计领域注入了新视角,为家具设计创新提供了一定参考依据。

Abstract

The work aims to apply a new design research framework and combine machine learning algorithms to provide sustainable design method guidance for seat design. Through quantization of characteristics of seats and the emotional cognition of users, a clear mapping relationship was established between the two using Kansei Engineering (KE). Subsequently, the PSO-SVR (Support Vector Regression with Optimized Particle Swarm Optimization) model was used to explore the nonlinear correlation between seat features and user emotional cognition, fit the optimal curve, and finally conduct experiments based on the trained model to accurately predict user emotional cognition. The seat designed with the KE-PSO-SVR model could accurately and efficiently capture the nonlinear relationship between user cognition and seat features, which can better and effectively meet design requirements and improve user satisfaction. This design model injects a new perspective into the field of furniture design and provides a certain reference basis for furniture design innovation.

导出引用

汤繁稀, 杨钦, 高尚卿. 基于KE-PSO-SVR模型感性意向座椅设计及其适用性研究[J]. 包装工程（设计栏目）. 2025, 46(12): 449-459 https://doi.org/10.19554/j.cnki.1001-3563.2025.12.045

TANG Fanxi, YANG Qin, GAO Shangqing. Perceptual Intention Seat Design and Its Applicability Based on KE-PSO-SVR Model[J]. Packaging Engineering. 2025, 46(12): 449-459 https://doi.org/10.19554/j.cnki.1001-3563.2025.12.045

中图分类号： TB472

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