纺织学报 ›› 2020, Vol. 41 ›› Issue (10): 132-136.doi: 10.13475/j.fzxb.20200205805

• 服装工程 • 上一篇    下一篇

服装波点图案消费感知与设计要素的相关性

李杨, 吴晶()   

  1. 四川大学 轻工科学与工程学院, 四川 成都 610065
  • 收稿日期:2020-02-28 修回日期:2020-07-12 出版日期:2020-10-15 发布日期:2020-10-27
  • 通讯作者: 吴晶
  • 作者简介:李杨(1995—),女,硕士生。主要研究方向为服装品牌设计与管理等。

Correlation between consumer's perceptual cognition of garment polka dot patterns and design elements

LI Yang, WU Jing()   

  1. College of Biomass Science and Engineering, Sichuan University, Chengdu, Sichuan 610065, China
  • Received:2020-02-28 Revised:2020-07-12 Online:2020-10-15 Published:2020-10-27
  • Contact: WU Jing

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摘要：

为探究服装消费者对波点图案的感性评价与图案设计要素的关系,准确把握服装波点图案的设计定位,从而满足消费者的感性需求,通过消费感知实验,获取消费者对服装波点图案在7个维度方面的感性评分数据,同时将实验样本图案的定性要素赋值为定量数据,通过偏最小二乘法探索两组数据的映射关系,建立相关性数学模型。通过数据分析得出结论:服装波点图案设计要素影响着消费者的感性认知,二者存在较高的相关性,且不同的感性形容词对应着不同的相关性模型;相关性模型具有实践应用价值,有助于实现基于不同感性需求的个性化图案设计,建立服装波点图案的感性评价预测模型。

关键词: 服装波点图案, 消费感知, 感性需求, 感性工学, 设计要素

Abstract:

In order to explore the relationship between the consumer's perceptual evaluation of polka dot patterns and the pattern design elements for accurately grasp the design positioning of polka dot patterns to meet consumer emotional needs, the consumer perception experiment was used to obtain the consumer's perceptual score data on the garment polka dot patterns in 7 dimensions. Meanwhile, the qualitative elements of the experimental sample pattern was assigned to quantitative data. By using partial least squares method, this study explored the mapping relationship between the two sets of data to establish correlation mathematical models. Through data analysis, it is concluded that the design elements of garment polka dot patterns affect the consumer's perceptual cognition. There is a high correlation between the two. Different perceptual adjectives correspond to different correlation models. The correlation model has practical application value, which helps to realize personalized pattern design based on different perceptual needs. It is also helpful to establish a predictive model for the perceptual evaluation of the garment polka dot patterns.

Key words: garment polka dot patterns, consumer's perceptual cognition, perceptual demand, perceptual engineering, design element

中图分类号: 

  • TS941.17

表1

设计要素编码表"

类目 子要素 编码
元素种类 少种类 C1
较少种类 C2
较多种类 C3
多种类 C4
元素大小 小元素 C5
较小元素 C6
较大元素 C7
大元素 C8
色彩数量 少数量 C9
较少数量 C10
较多数量 C11
多数量 C12
色彩对比度 弱对比 C13
较弱对比 C14
较强对比 C15
强对比 C16
排列方式 横向排列 C17
纵向排列 C18
斜向排列 C19
无规则排列 C20
排列密度 低密度 C21
较低密度 C22
较高密度 C23
高密度 C24

图1

实验样本1#~24#"

表2

实验样本形容词得分平均值"

样本 K1 K2 K3 K4 K5 K6 K7
1# 4.341 4.870 4.717 4.173 2.842 4.622 4.684
2# 4.273 3.291 3.472 2.932 3.654 4.638 4.782
3# 4.593 4.709 5.165 4.394 4.739 4.570 4.535
4# 3.942 4.277 3.846 3.288 3.228 4.651 5.189
5# 3.812 4.029 4.747 4.689 4.797 3.639 3.639
6# 4.625 3.385 4.973 3.964 4.769 4.785 3.605
7# 4.389 4.442 4.389 4.168 3.503 4.615 4.712
8# 3.041 4.314 4.800 4.739 4.634 4.279 2.700
9# 4.380 4.810 4.614 4.698 2.652 4.326 4.553
10# 4.486 4.519 4.734 4.469 3.220 4.652 4.663
11# 4.121 3.402 3.471 2.694 4.494 4.613 5.246
12# 2.725 2.761 4.230 4.309 5.571 3.683 3.053
13# 4.587 4.571 4.701 4.282 4.260 4.319 3.452
14# 4.356 4.637 4.526 4.637 3.674 4.500 4.613
15# 4.606 4.304 4.783 4.611 4.716 3.973 3.691
16# 4.636 3.500 4.630 3.393 3.356 4.814 5.219
17# 4.483 4.685 4.609 3.545 3.283 4.619 4.713
18# 3.151 3.255 3.718 3.459 4.884 3.864 4.695
19# 3.161 3.643 4.644 4.074 4.822 3.777 3.384
20# 4.571 4.299 4.615 3.350 4.380 4.652 4.994
21# 4.723 4.659 4.564 3.534 3.250 4.661 4.964
22# 4.069 3.304 3.771 4.346 4.936 4.469 4.526
23# 2.620 4.567 4.677 4.584 5.461 3.357 3.138
24# 4.688 4.876 4.622 4.374 2.297 4.679 5.030

表3

实验样本1设计要素对应表"

元素
种类		 元素
大小		 色彩
数量		 色彩
对比度		 排列
方式		 排列
密度
C2 C7 C11 C15 C20 C22

表4

实验样本1设计要素赋值表"

设计要素 赋值 设计要素 赋值 设计要素 赋值
C1 0 C9 0 C17 0
C2 1 C10 0 C18 0
C3 0 C11 1 C19 0
C4 0 C12 0 C20 1
C5 0 C13 0 C21 0
C6 0 C14 0 C22 1
C7 1 C15 1 C23 0
C8 0 C16 0 C24 0

表5

消费感知与设计要素相关性回归系数"

要素 K1 K2 K3 K4 K5 K6 K7
C1 0.127 0.080 -0.854 0.792 -0.675 -0.063 0.061
C2 -0.444 0.365 0.007 -0.378 0.077 -0.430 -0.149
C3 0.598 -0.499 0.523 -0.422 0.225 0.623 0.427
C4 -0.114 -0.186 0.699 -0.054 0.650 0.128 -0.337
C5 -0.392 -0.229 -0.612 -0.031 0.482 -0.379 -0.036
C6 0.361 -0.224 -0.168 -0.069 -0.046 0.431 0.298
C7 -0.155 0.466 0.620 -0.449 -0.191 0.114 0.101
C8 0.015 -0.119 -0.103 0.624 -0.051 -0.388 -0.448
C9 -0.405 -0.010 0.559 -0.991 0.687 -0.087 -0.020
C10 0.554 -0.061 0.203 0.296 -0.019 0.460 0.156
C11 0.256 -0.263 -0.172 0.268 -0.472 0.138 0.135
C12 -0.655 0.489 -0.637 0.326 -0.039 -0.713 -0.386
C13 -0.005 -0.006 -0.319 -0.888 -0.192 0.351 0.334
C14 -0.026 0.119 0.474 -0.245 0.003 -0.090 0.019
C15 0.224 -0.180 -0.266 0.781 -0.161 0.090 -0.116
C16 -0.435 0.122 0.015 0.493 0.718 -0.634 -0.406
C17 0.073 -0.033 -0.268 -0.181 -0.118 0.161 0.008
C18 -0.542 -0.139 0.130 -0.520 0.706 -0.203 -0.111
C19 -0.177 0.084 0.138 0.375 0.045 -0.192 -0.107
C20 0.251 0.039 0.117 0.168 -0.203 0.041 0.098
C21 -0.479 0.764 0.049 0.683 -0.216 -0.646 -0.431
C22 -0.323 -0.227 -0.086 -0.276 0.499 -0.200 -0.088
C23 0.217 0.208 -0.008 -0.018 0.020 0.147 0.089
C24 0.294 -0.365 0.073 -0.019 -0.422 0.330 0.185
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