Group consumers' preference recommendation algorithm model for online
apparel's colour based on Kansei engineering

GE, BAORU; Shaari, Nazlina; Yunos, Mohd Yazid Mohd; Abidin, Sazrinee Zainal

doi:10.35530/it.074.01.202268

Cited by 3 publications

(1 citation statement)

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“…The data on people's cognition of product styling were established using the questionnaire. Ge et al [10] developed an algorithmic model regarding consumer preferences based on color scales and Kansei engineering. The color evaluation of solid color shirts was realized using a five-level semantic difference scale.…”

Section: Introductionmentioning

confidence: 99%

Product Styling Cognition Based on Kansei Engineering Theory and Implicit Measurement

Zhang,

Liu,

Yang

et al. 2023

Applied Sciences

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Effective product styling designs must increasingly address users’ emotional requirements. This study introduces a product styling design method combining electroencephalography (EEG) and eye tracking for multimodal measurement based on the Kansei engineering theory. The feasibility of determining a target image using a similarity calculation model is verified. An experimental paradigm based on implicit measures is presented for product styling cognition research. This paradigm involves determining the target image, sample selection, target image matching experiments, and product styling cognition experiments. Based on the combined EEG and eye-tracking measurements, insights into product-form cognition are deduced to provide a scientific basis for product-form innovation design. Notably, variations in event-related potential during user cognition of product styling are more evident in the product-styling perception phase than in the evaluation phase. In the styling perception phase, samples with “high match” with the target image elicit more pronounced EEG responses than those with “low match”. These findings demonstrate the viability of understanding product-form cognition through multimodal implicit measurements, addressing issues such as the pronounced subjectivity inherent in traditional methods. Furthermore, this approach provides a pioneering technique for Kansei engineering research and offers a methodology for multimodal implicit measurements of product innovation design.

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Section: Introductionmentioning

confidence: 99%

Product Styling Cognition Based on Kansei Engineering Theory and Implicit Measurement

Zhang,

Liu,

Yang

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

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A consumers’ Kansei needs mining and purchase intention evaluation method based on fuzzy linguistic theory and multi-attribute decision making method

Wang,

Chu,

et al. 2024

Advanced Engineering Informatics

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Network modeling of aesthetic effect for Chinese Yue Opera costume simulation images

Yanna,

Yicheng,

Xia

2024

AUTEX Research Journal

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In the digital age, virtual simulation images have become an important communication form of Chinese traditional Yue Opera costumes and their culture. Focusing on the lay viewers’ aesthetic experience, we collected 16 subjective evaluations, including favorites of basic design elements, semantic impressions, and high-level aesthetic experience, of 257 participants on 5 virtual simulation pictures of Yue Opera costumes for different characters and used network analysis to explore the possible relationship of the variables. The inferred networks showed that the archetypal aesthetic was more relevant to the costume design elements, emotions, interests, and the sense of high level. The conspicuous clothing, understanding of creative intent, and the desire for cultural knowledge were key “bridges” in the aesthetic process. Although the aesthetic network of each costume varied partially based on character differences, it showed more similarities overall. On the basis of the findings, we discuss the possible theoretical basis of the networks and make practical suggestions for the virtual dissemination of Yue Opera costumes.

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Group consumers' preference recommendation algorithm model for online apparel's colour based on Kansei engineering

Cited by 3 publications

References 0 publications

Product Styling Cognition Based on Kansei Engineering Theory and Implicit Measurement

Product Styling Cognition Based on Kansei Engineering Theory and Implicit Measurement

A consumers’ Kansei needs mining and purchase intention evaluation method based on fuzzy linguistic theory and multi-attribute decision making method

Network modeling of aesthetic effect for Chinese Yue Opera costume simulation images

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