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Apparel Brand Overlap Based on Customer Perceived Value and eye-tracking technology

Tsinghua Science and technology 2018年第1期23卷 47-64页

作者： Lei Jiang Kang Zhang School of Computer Software Tianjin University Tianjin 300350 China Institute of Art and Fashion Tianjin Polytechnic University Tianjin 300387 China

Competition in the apparel market has developed from preliminary price competition, quality competition, and scale competition to the current state of brand competition. The phenomenon of brand overlap cannot be avoided by apparel enterprises during the process of building and manufacturing their brands. This paper has selected nine identification elements of three dimensions, which we used to construct an apparel brand overlap identification model. This model is based on the theories of customer perceived value and brand identity and was constructed by taking consumer perspectives as the starting point. Two apparel brands from the representative international E Company have been selected as our empirical research objects. An apparel brand overlap identification model has been constructed based on questionnaire analysis and a cognitive experiment involving eye-tracking technology. In addition, the overlap elements among apparel brands, as well as the cognitive situation of consumers with regard to brand overlap, have been analyzed.

关键词： eye-tracking technology customer perceived value brand overlap brand identity apparel brand

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Machine learning models for stroke detection by observing the eye-movement features under five-color visual stimuli in traditional Chinese medicine

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Journal of Traditional Chinese Medical Sciences 2023年第3期10卷 321-330页

作者： Qingya Lu Jingyuan Deng Ying Yu Yang Li Kunni Wei Xia Han Zefeng Wang Xun Zhang Xu Wang Cong Yan School of Life Sciences Beijing University of Chinese MedicineBeijing 102488China The First Affiliated Hospital Xi'an Jiaotong UniversityXi'an 710061China Laboratory LISITE ISEP School of Computer EngineersParis 75006France College of Information Engineering Huzhou UniversityHuzhou 313000China

Objective:To develop a novel diagnostic modality to identify and diagnose stroke in daily life scenarios for improving the therapeutic effects and prognoses of ***:In this study,16 stroke patients and 24 age-matched healthy participants as controls were recruited for comparative *** a portable eye-tracking device and integrating traditional Chinese medicine theory with modern color psychology principles,we recorded the eye movement signals and calculated eye movement ***,the stroke recognition models based on eye movement features were further trained by using random forest(RF),k-nearest neighbors(KNN),decision tree(DT),gradient boosting classifier(GBC),XGBoost,and ***:The stroke group and the healthy group showed significant differences in some eye movement features(Peye movement characteristics had good performances in recognizing stroke individuals,with accuracies ranging from 77.40%to 88.45%.Under the red stimulus,the eye movement model trained by RF became the best machine learning model with a recall of 84.65%,a precision of 86.48%,a F1 score of 85.47%.Among the six algorithms,RF and CatBoost performed better in ***:This study pioneers the application of traditional Chinese medicine's five-color stimuli to visual observation *** the basis of the combined design,the eye-movement models can accurately identify stroke,and the developed high-performance models may be used in daily life scenarios.

关键词： Five-color stimulation Traditional Chinese medicine Stroke eye-tracking technology eye-movement models Accuracy Random forest CatBoost Dynamic eye diagnosis

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眼动结合用户集群的苗族文化感性工学模型构建研究

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设计 2023年第2期8卷 710-724页

作者：常开心林丽周铃贵州大学机械工程学院，贵州贵阳贵州大学工程训练中心，贵州贵阳

为解决传统用户感性需求映射存在模糊性和不确定性的问题，对此提出了一种眼动结合用户集群的苗族文化感性工学模型构建方法。首先，获取苗族纹样和文化意象，运用造型分析法解构纹样形态，基于K-modes建立用户集群；其次，开展面向集... 详细信息

为解决传统用户感性需求映射存在模糊性和不确定性的问题，对此提出了一种眼动结合用户集群的苗族文化感性工学模型构建方法。首先，获取苗族纹样和文化意象，运用造型分析法解构纹样形态，基于K-modes建立用户集群；其次，开展面向集群用户意象–纹样认知眼动实验；再者，基于KNN算法识别被试所属集群，基于集群眼动数据遴选苗族文化符码样本关键造型类目；最后，引入PLS多元回归分析，获得集群意象和苗族文化符码的相关性回归系数，实现集群用户文化意象–符码映射模型构建。基于此模型能够快速获取用户偏好的苗族符码造型，有效地促进苗族文创产品的创新设计与开发。

关键词：用户集群感性工学苗族文化眼动技术 User Clusters Kansei Engineering Miao Culture eye-tracking technology

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