[1]陈 璐,雷聪聪,陈 郁*.用户面部情绪与其对服装感兴趣度的关联分析[J].服装学报,2021,6(04):311-316.
 CHEN Lu,LEI Congcong,CHEN Yu*.Study on the Relationship Between User’s Facial Emotions and Clothing Interests Level[J].Journal of Clothing Research,2021,6(04):311-316.
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用户面部情绪与其对服装感兴趣度的关联分析()
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《服装学报》[ISSN:2096-1928/CN:32-1864/TS]

卷:
第6卷
期数:
2021年04期
页码:
311-316
栏目:
服装信息与工程
出版日期:
2021-08-30

文章信息/Info

Title:
Study on the Relationship Between User’s Facial Emotions and Clothing Interests Level
作者:
陈 璐;  雷聪聪;  陈 郁*
上海工程技术大学 纺织服装学院,上海 201620
Author(s):
CHEN Lu;  LEI Congcong;  CHEN Yu*
School of Textiles and Fashion,Shanghai University of Engineering Science,Shanghai 201620, China
分类号:
F 713.55
文献标志码:
A
摘要:
消费者对服装款式的个人经验和评价对设计师、企业、经销商十分重要,而服装在很大程度上涉及个人的主观喜好。为研究用户面部微表情与其是否对服装感兴趣之间的关系,随机选择22名在校大学生使用FaceReader 7.0表情分析软件采集其观看服装秀场视频时的表情样本,并让其填写相关问卷,最后将参与者问卷中对不同款式服装的感兴趣程度和其观看秀场视频表情反映的情绪变化相比较。结果表明:①在观看秀场视频时,用户的中性情绪占比明显高于其他情绪; 对于感兴趣的服装,用户所展现的愉快、愤怒、惊奇、惧怕及轻蔑这5种情绪的测量值较高,而对于不感兴趣的服装,其悲伤和厌恶情绪测量值较高。②在观看感兴趣的服装时,用户的状态更为活跃。③FaceReader 7.0 软件更适用于分析个体用户对服装的感兴趣程度。该研究结果可以为服装基础设计实践和服装市场营销提供一定的参考。
Abstract:
Clothing to a large extent involves people’s subjective preferences and consumers’ personal experience and appraisal of clothing styles are of the utmost importance to designers, companies, and distributors.In order to study the relationship between the user’s facial emotions and their clothing interest level,22 college students were randomly selected and we collected their facial expression samples when they were watching the fashion show video by using the facial expression analysis software of Facereader 7.0.The level of interest in different styles of clothing, which is chosen by participants in the questionnaire, is compared with the emotional changes recorded by expression analysis. The results show that:①when watching the fashion show video, the proportion of neutral emotions is significantly higher than other emotions to users. For the desired clothes of customers, the measured value of happiness, anger, surprise, fear and contempt are higher, and for uninterested clothes, sadness and disgust present higher values. ②for the clothes that they are interested in, customers are more active when watching. ③when using FaceReader 7.0 software to explore the user’s interest level in clothing, the software is more suitable for individual analysis. The research results can provide a certain reference for the basic design practice and marketing of clothing.

参考文献/References:

[1] HADINEJAD A,MOYLE B D, SCOTT N, et al. Emotional responses to tourism advertisements: the application of FaceReader?[J]. Tourism Recreation Research,2019,44(1):131-135.
[2] 宁俊,马迁利.服装消费文化理论研究[J]. 纺织学报, 2006, 27(7):117-120.
NING Jun, MA Qianli.Research on clothing consumption culture[J]. Journal of Textile Research,2006,27(7):117-120.(in Chinese)
[3] KELTNER D,EKMAN P. Facial expression of emotion and personality[M]. New York:The Guilford Press,2010:173-183.
[4] EKMAN P, FRIESEN W V. Facial action coding system: a technique for the measurement of facial movement[J].Consulting Psychologists Press Palo Alto,1978,3(2):5.
[5] MENG Q,HU X J, KANG J, et al. On the effectiveness of facial expression recognition for evaluation of urban sound perception[J]. Science of the Total Environment, 2020(710):135484.
[6] KOSTYRA E, RAMBUSZEK M, WASZKIEWICZ-ROBAK B, et al. Consumer facial expression in relation to smoked ham with the use of face reading technology. The methodological aspects and informative value of research results[J]. Meat Science, 2016(119):22-31.
[7] DANNER L, HAINDL S, JOECHL M,et al. Facial expressions and autonomous nervous system responses elicited by tasting different juices[J]. Food Research International, 2014(64):81-90.
[8] CHIA-YIN Y,CHIH-HSIANG K. The use off acialrecognition to evaluate human emotion when recognizing shading and texture[J]. Bulletin of Japanese Society for the Science of Design,2016,62(5).
[9] 唐晓彤, 梁若雯. 外显情绪与运动行为结果的关联研究——美国NBA总决赛实证分析为例[J]. 浙江体育科学, 2016, 38(6):84-88.
TANG Xiaotong, LIANG Ruowen. Study on the relationship between athletics facial expression and the throws result—taking NBA final competitions as examples[J]Zhejiang Sport Science, 2016,38(6):84-88.(in Chinese)
[10] 施聪莺,李晶. FaceReader 7.0对国内常见表情图片库识别的有效性研究[J]. 心理技术与应用, 2018, 6(2):100-108.
SHI Congying, LI Jing.The recognition validity of FaceReader 7.0 to common facial expression image database systems in China[J].Psychology Techniques and Applications,2018, 6(2):100-108.(in Chinese)
[11] 杨超,李宏汀.Facereader软件对中国人脸表情识别有效性研究[J].人类工效学,2015,21(1):38- 41.
YANG Chao, LI Hongting.Validity study on Facereader’s images recognition from Chinese facial expression database[J].Chinese Journal of Ergonomics,2015,21(1):38- 41.(in Chinese)
[12] UYL M D, KUILENBURG H V. The FaceReader:online facial expression recognition[R].Wageningen:Proceedings of Measuring Behavior,2005.
[13] ROCHA C, LIMA R C, MOURA A P, et al. Implicit evaluation of the emotional response to premium organic herbal infusions through a temporal dominance approach: development of the temporal dominance of facial emotions(TDFE)[J]. Food Quality and Preference,2019(76):71-80.
[14] SOUTSCHEK A, WEINREICH A, SCHUBERT T.Facial electromyography reveals dissociable affective responses in social and non-social cooperation[J]. Motivation and Emotion, 2018, 42(1):118-125.
(责任编辑:张 雪)

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更新日期/Last Update: 2021-08-30