Journal of Textile Research ›› 2024, Vol. 45 ›› Issue (02): 231-237.doi: 10.13475/j.fzxb.20231009001

• Apparel Engineering • Previous Articles     Next Articles

Kansei Engineering application of body perception in garment segmentation design

DU Peiyan, CHEN Jingyu, ZHANG Xiaoxia()   

  1. School of Fashion Design & Engineering, Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, China
  • Received:2023-10-26 Revised:2023-11-21 Online:2024-02-15 Published:2024-03-29

Abstract:

Objective Women's clothing design centered on human form is mainly based on women's figure, highlighting the beauty of curves and proportions. Utilizing different forms of illusion to modify the clothing can bring visual and psychological pleasure, thus producing an impact on the perception of the body shape and achieving an ideal dress effect.

Method The experiment took dresses as the research carrier, screened 67 college students as subjects, and based on the research method of Kansei Engineering and cognitive psychology technology, used Adobe Illustrator software to draw sample pictures and HSB color attribute model to adjust the color brightness, to explore the symmetrical division and nine levels of brightness changes in the apparel design on the perception of human body shape of the sense of thinness, the sense of liking The sensual evaluation of the human body shape in clothing design.

Results The laws of clothing segmentation ratio and color brightness for the thinness and likability of clothing are generally consistent. The color of the deepest luminance has the highest sense of thinness and likability, and the sense of thinness and likability in the second deepest luminance is not the second highest, and all the perception scores are not in line with the traditional cognition of "the deeper the color luminance, the higher the sense of thinness". Visual cognition of thinness under the change of luminance: In the symmetric proportion model, with the increase of the proportion of green samples and red samples to the segmentation line, the thinness of all luminance shows a general trend of increasing and then decreasing. Visual perception of thinness under the change of segmentation ratio: in the symmetric ratio mode, as the brightness of the color becomes darker, the thinness scores of the segmentation ratio show an overall increasing trend. Visual perception of likability under the change of luminance: in the symmetric ratio model, as the proportion of the segmentation line increases, the green sample shows a general trend of increasing and then decreasing, and the red sample shows a general trend of increasing. Visual cognition of apparent thinness under the change of segmentation ratio: in the symmetric ratio model, as the brightness of green samples and red samples become darker, the overall trend of the likability cognition scores of the segmentation ratio shows a rising trend. For the samples without extreme scores, the actual scores are not significant, ranging from 2.5 to 3.5, and fluctuating above and below the "average" option. The reasons for this are as follows: in terms of the subjects, the data were selected as the average of all the people, because the number of subjects was large, and the process was not subdivided into groups of subjects, so it is possible that the typical data differences of many subdivided groups were hidden; in terms of the samples, the crotch difference of the classification was set too small, resulting in the differences between the samples not being significant enough.

Conclusion The mechanism of how clothing segmentation design and luminance affects body perception and consumer psychology is investigated, providing a reliable quantitative basis for clothing companies and designers in the process of apparel development and design, and providing a reference basis for apparel consumers and apparel brands, which can help to enhance the effect of product development and regulate consumers' satisfaction with their bodies.Kansei Engineering in the field of apparel design related to a very broad application of research space, the experiment did not involve the audience of all ages and occupations, so that the results of the experiment has a certain degree of constraints, the need to expand the scope of the subjects in future research, to strengthen the validity of the experimental data. In the next experiments, we can try to subdivide the subjects into personalized groups, analyze the differences in cognitive scores between different subdivided groups, or reduce the crotch difference of physical parameters of the samples, and then do the validation experiments.

Key words: Kansei engineering, garment segmentation design, color brightness, body perception

CLC Number: 

  • TS941

Fig. 1

Sample J1-J9 color brightness crotch difference change"

Fig. 2

Stimulus presentation flow diagram"

Tab. 1

Red K1-K9 average visual cognitive score"

试样编号 认知评分
显瘦感 标准差 喜好感 标准差
K1 3.03 0.9 3.44 1.05
K2 3.04 0.9 3.07 1.09
K3 3.15 0.9 3 1
K4 3.01 1 2.98 0.99
K5 3.13 1 3.18 1.1
K6 3.11 0.9 2.98 1.06
K7 3.17 0.98 2.98 1.06
K8 3.29 1.1 2.96 1.02
K9 3.84 1.1 3.66 1.11

Fig. 3

Thinness visual cognitive score (brightness change). (a) Green sample symmetric scale model; (b) Red sample symmetric scale model"

Fig. 4

Thinness visual cognition score (split ratio change). (a) Green sample symmetric scale model; (b) Red sample symmetric scale model"

Fig. 5

Preference visual cognition score (brightness change). (a) Green sample symmetric scale model; (b) Red sample symmetric scale model"

Fig. 6

Preference visual cognition score(split ratio change). (a) Green sample symmetric scale model; (b) Red sample symmetric scale model"

[1] 罗晓红, 邹静欣, 袁慧灵, 等. 青年外表焦虑量表的效度和信度[J]. 中国心理卫生杂志, 2023, 37(5):435-441.
LUO Xiaohong, ZOU Jingxin, YUAN Huiling, et al. Development of the youth appearance anxiety scaleand its validity andreliability[J]. Chinese Mental Health Journal, 2023, 37(5):435-441.
[2] 刘爽爽, 肖斌, 王葵, 等. 体型知觉的准确性及其认知机制[J]. 心理科学进展, 2022, 30(11):2529-2539.
doi: 10.3724/SP.J.1042.2022.02529
LIU Shuangshuang, XIAO Bing, WANG Kui, et al. CHANBody size perception: accuracy and cognitive mechanisms[J]. Advances in Psychological Science, 2022, 30(11):2529-2539.
doi: 10.3724/SP.J.1042.2022.02529
[3] 赵本燕, 王建新. 当代青年身体审美观偏差及其匡正[J]. 思想理论教育, 2023(10):101-106.
ZHAO Benyan, WANG Jianxin. Contemporary youth body aesthetic deviation and its correction[J]. Ideological & Theoretical Education, 2023(10):101-106.
[4] 赵建国. 身体形象传播研究[J]. 新闻爱好者, 2015(9): 28-31.
ZHAO Jianguo. Research on body image communica-tion[J]. Journalism Lover, 2015(9):28-31.
[5] 丁瑛, 何瑜婷, 姚凌雯. 分割线在袖型结构变化中的设计及应用[J]. 丝绸, 2019, 56(9):74-83.
DING Ying, HE Yuting, YAO Lingweng. Design and application of segmentation line in sleeve structure change[J]. Journal of Silk, 2019, 56(9):74-83.
[6] 罗云, 林倩任, 赵静秒, 等. 基于Style3D的孕妇连衣裙衣身基型结构设计[J]. 毛纺科技, 2022, 50(11):59-65.
LUO Yun, LIN Qianren, ZHAO Jingmiao, et al. Research on basic pattern design of pregnant women's dress based on Style3D[J]. Wool Textile Journal, 2022, 50(11):59-65.
[7] 林燕萍. 服装造型设计与结构设计的相关性探讨[J]. 毛纺科技, 2017, 45(4):41-43.
LIN Yanping. Relationship between fashion design and structure design[J]. Wool Textile Journal, 2017, 45(4):41-43.
[8] 吴永红. 纸样剪切设计在服装造型中的运用[J]. 纺织学报, 2012, 33(8):103-107.
WU Yonghong. Application of pattern cutting design in fashion modeling[J]. Journal of Textile Research, 2012, 33(8):103-107.
[9] 张阳, 宋磊, 李学林, 等. 基于感性工学的飞桥游艇造型灰关联度研究[J]. 包装工程, 2023, 44(16):180-187.
ZHANG Yang, SONG Lei, LI Xuelin, et al. Grey relational analysis of flybridge yacht modeling based on kansei engineering[J]. Packaging Engineering, 2023, 44(16):180-187.
[10] 林哲辉, 吴正仲, 罗峰, 等. 基于感性工学与人工神经网络的电动剃须刀多感官意象设计方法[J]. 机械设计, 2023, 40(2):149-156.
LIN Zhehui, WU Zhengzhong, LUO Feng, et al. Multi-sensory design method of electric shavers basedon kanseiengineering and artificial neural networks[J]. Journal of Machine Design, 2023, 40(2):149-156.
[11] 石小涛, 郭霞, 鲁子涵, 等. 基于感性工学的驾舱座椅CMF研究及中式元素设计应用[J]. 包装工程, 2023, 44(6):441-448.
SHI Xiaotao, GUO Xia, LU Zihan, et al. CMF design and application of chinese elements in cockpit seat based on kansei engineering[J]. Packaging Engineering, 2023, 44(6):441-448.
[12] 张伟萌, 李晓英, 郭子轩, 等. 女风衣领型与廓形搭配的感性意向评价[J]. 毛纺科技, 2022, 50(5):110-116.
ZHANG Weimeng, LI Xiaoying, GUO Zixuan, et al. MA fangperceptual intention evaluation of collar type and silhouette matching of women's windbreaker[J]. Wool Textile Journal, 2022, 50(5):110-116.
[13] 周林娜, 刘驰. 基于感性工学的文胸杯型及分割线设计研究[J]. 毛纺科技, 2022, 50(12):48-54.
ZHOU Linna, LIU Chi. Research on the design of bra cup types and segmentation lines based on kansei engineering[J]. Wool Textile Journal, 2022, 50(12):48-54.
[14] 俞翔, 吴巧英. 基于三角模糊数的汉服袖型感性评价[J]. 丝绸, 2022, 59(8):62-68.
YU Xiang, WU Qiaoying. Perceptual evaluation of Hanfu sleeve shapes based on triangular fuzzynumber[J]. Journal of Silk, 2022, 59(8):62-68.
[15] 胡孟月, 冀艳波, 刘凯旋. 基于感性工学的男衬衫几何纹样评价[J]. 毛纺科技, 2021, 49(7):35-39.
HU Mengyue, JI Yanbo, LIU Kaixuan. Geometric pattern evaluation of men's shirts based on Kansei Enginee-ring[J]. Wool Textile Journal, 2021, 49(7):35-39.
[16] 李杨, 吴晶. 服装波点图案消费感知与设计要素的相关性[J]. 纺织学报, 2020, 41(10):132-136.
LI Yang, WU Jing. Correlation between consumer's perceptual cognition of garment polka dotpatterns and design elements[J]. Journal of Textile Research, 2020, 41(10):132-136.
[17] 郝新月, 刘凯旋. 袜子装饰图案设计的感性评价研究[J]. 毛纺科技, 2021, 49(3):54-59.
HAO Xinyue, LIU Kaixuan. Research on perceptual evaluation of sock decoration pattern design[J]. Wool Textile Journal, 2021, 49(3):54-59.
[18] 蒋孝锋. 服装颜色明度对人情感的影响机制[D]. 苏州: 苏州大学, 2012:49-51.
Jiang Xiaofeng. Mechanism for effects of clothing color value on human emotion: behavioral ERP study abstract[D]. Suzhou: Soochow University, 2012:49-51.
[19] 陈文锋, 崔耀, 张建新. 心理实验系统E-Prime介绍及其应用[J]. 心理科学, 2005(6):178-180.
CHEN Wenfeng, CUI Yao, ZHANG Jianxin. An introduction to E-prime and lts application[J]. Journal of Psychological Science, 2005(6):178-180.
[20] 李辉, 侯雅单, 张玥, 等. 包装的感性设计方法探析[J]. 湖南包装, 2018, 33(3):12-14,39.
LI Hui, HOU Yadan, ZHANG Yue, et al. Analysis of the sensitive design method of packaging[J]. Hunan Packagin, 2018, 33(3):12-14,39.
[1] ZHANG Jun, HU Song, TONG Mengxia, XIAO Wenling. Research progress in Kansei engineering for textile and clothing applications [J]. Journal of Textile Research, 2023, 44(11): 240-249.
[2] CAI Liling, REN Qianbin, JI Xiaofen, XIAO Zengrui, ZHANG Yiling. Leg style perception evaluation and personalized customization of women's sports trousers [J]. Journal of Textile Research, 2023, 44(04): 165-171.
[3] ZHAO Xin, WANG Caixia, ZHOU Xiaopi, DING Xuemei. Study on sensory evaluation of performance of washed wool sweaters based on ridge regression method [J]. Journal of Textile Research, 2022, 43(07): 155-161.
[4] GAN Meichen, LI Min. Design and realization of a collocation recommendation system for women's clothing [J]. Journal of Textile Research, 2020, 41(10): 122-131.
[5] . Application effect of blue and white patterns of Ming Dynasty on cheongsam [J]. JOURNAL OF TEXTILE RESEARCH, 2018, 39(01): 126-132.
[6] . Sensibility assessment of spring and summer shirt yarn-dyed fabrics [J]. JOURNAL OF TEXTILE RESEARCH, 2016, 37(08): 59-64.
[7] . Individual differences in perceptual evaluation for fashion design: taking female students as research subjects [J]. JOURNAL OF TEXTILE RESEARCH, 2014, 35(5): 137-0.
[8] WANG Ying;CHEN Yan. Relationship between perception and designing elements of woman′s overcoats [J]. JOURNAL OF TEXTILE RESEARCH, 2007, 28(11): 97-100.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!