基于响应曲面分析的连体泳装结构情绪测量

doi:10.13475/j.fzxb.20210808008

摘要/Abstract

摘要：

针对不同连体泳装引起用户情绪差异问题,从结构设计出发,基于连体泳装基础结构,选取前领口深、后领口深、侧缝长3个结构设计要素为因素,进行三因素三水平响应面设计,利用CLO3D软件制作各连体泳装的三维虚拟试衣动态视频作为刺激视频,以愉悦度、激活度、优势度为指标测量用户情绪,进行响应面试验并建立回归方程。结果表明:响应面模型与实际情况拟合良好,能较好预测连体泳装的情绪值,影响愉悦度和激活度的因素依次为侧缝长、后领口深、前领口深,影响优势度的因素依次为后领口深、侧缝长、前领口深;前领口深和后领口深的交互作用对情绪的影响较为显著;并得到了以情绪为导向的连体泳装结构设计预测结果。

关键词: 连体泳装, 结构设计, 响应曲面法, PAD情感模型, 情绪测量, 情感语义空间

Abstract:

Aiming at the user emotional differences caused by different one-piece swimsuits, a research was carried out starting from the structural design based on the basic structure of one-piece swimsuit. Three structural design elements of front neckline depth, back neckline depth, and side seam length were selected as factors, and a three-factor three-level response surface design procedure was explored. CLO3D software was used to obtain three-dimensional virtual fitting dynamic videos of each one-piece swimsuit as a stimulus video. The evaluation scales of pleasure, activation, and dominance were as indicators to measure user emotions. Response surface experiments were conducted and regression equations establish. The results show that the response surface model fits well with the actual situation and is capable of better predicting the emotional values of the one-piece swimsuit. The factors affecting the pleasure and activation are in the order of side seam length, back neckline depth, front neckline depth, and the degree of dominance are in the order of back neckline depth, side seam length, front neckline depth and the interaction between front neckline depth and back neckline depth has a significant influence on emotions. The prediction results of emotion-oriented one-piece swimsuit structure design were obtained.

Key words: one-piece swimsuit, structural design, response surface method, PAD emotional model, emotional measurement, emotional semantic space

中图分类号:

TS941.12

陈弈菲, 刘驰, 杨萌. 基于响应曲面分析的连体泳装结构情绪测量[J]. 纺织学报, 2022, 43(10): 161-168.

CHEN Yifei, LIU Chi, YANG Meng. Emotion measurement of one-piece swimsuit structure based on response surface analysis[J]. Journal of Textile Research, 2022, 43(10): 161-168.

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水平	A 前领口深/cm	B 后领口深/cm	C 侧缝长/cm
-1	13.0	10.5	15
0	15.5	23.0	30
1	18.0	35.5	45

试验序号	情绪测量结果
试验序号	P值	A值	D值
1	0.14	-0.34	0.40
2	0.60	0.66	1.03
3	0.06	-0.94	-0.09
4	0.51	0.11	0.51
5	0.29	-0.22	0.54
6	-0.60	-1.14	-0.17
7	0.00	-0.29	-0.31
8	0.31	-0.37	0.37
9	0.57	0.11	0.74
10	0.54	0.94	0.54
11	0.86	0.46	0.74
12	1.26	1.03	1.06
13	0.80	-0.29	0.31
14	0.66	0.26	0.09
15	0.60	0.83	0.71
16	1.06	1.34	0.71
17	0.46	-0.03	0.71

方差来源	均方	df	平方和	F值	显著性
模型	2.48	6	0.414	7.75	0.002 7^**
X	0.392	1	0.392	7.33	0.022 1^*
Y	0.667	1	0.667	12.48	0.005 4^**
Z	1.01	1	1.01	18.86	0.001 5^**
XY	0.397	1	0.397	7.43	0.021 4^*
XZ	0.003	1	0.003	0.057	0.816 8
YZ	0.018	1	0.018	0.341	0.572 2
残差	0.535	10	0.054
失拟项	0.276	6	0.046	0.711	0.663 0
误差	0.259	4	0.065
总和	3.02	16

方差来源	均方	df	平方和	F值	显著性
模型	6.59	6	1.1	11.37	0.000 6^**
X	0.515	1	0.515	5.33	0.043 6^*
Y	1.54	1	1.54	15.94	0.002 5^**
Z	3.46	1	3.46	35.79	0.000 1^**
XY	0.616	1	0.616	6.38	0.030 1^*
XZ	0.23	1	0.23	2.38	0.153 6
YZ	0.23	1	0.23	2.38	0.153 6
残差	0.966	10	0.097
失拟项	0.824	6	0.137	3.85	0.106 3
误差	0.143	4	0.036
总和	7.56	16

方差来源	均方	df	平方和	F值	显著性
模型	2.22	6	0.371	13.05	0.000 3^**
X	0.189	1	0.189	6.66	0.027 4^*
Y	1.08	1	1.08	38.06	0.000 1^**
Z	0.826	1	0.826	29.08	0.000 3^**
XY	0.001	1	0.001	0.032	0.862 2
XZ	0.126	1	0.126	4.44	0.061 4
YZ	0.002	1	0.002	0.056	0.817 1
残差	0.284	10	0.028
失拟项	0.143	6	0.024	0.672	0.684 6
误差	0.141	4	0.035
总和	2.51	16