Eye Tracking and Semantic Evaluation for Ceramic Teapot Product Modeling

In addition to their practical and aesthetic qualities, ceramic teapots are highly decorative and stylish. Based on the theory of perceptual engineering, this study employs eye-tracking technology and semantic-difference methods to investigate user preferences for ceramic teapot shapes. Using eye-movement experiments, the study first determines users’ visual attention to different morphological regions. Using the orthogonal alignment method, nine styling samples were developed by combining expert classification of classic and traditional teapot styling elements. By combining a semantic perception questionnaire with a satisfaction questionnaire, the study evaluated users’ visual attention to these samples and their satisfaction with them. It was found that shapes characterized by classic, rounded, and proportional coordination were more in line with consumers’ aesthetic preferences despite the differences in semantic evaluations among consumers of different genders and ages, which led to relatively consistent consumer satisfaction. The purpose of this study is not only to provide a scientific basis for styling ceramic teapots but also to assist designers in grasping the laws of consumer preference in order to create better products.

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Publication Details

Journal
Applied Sciences
Published
2024-12-25
DOI
https://doi.org/10.3390/app15010046
Citations
3
Primary Topic
Image Retrieval and Classification Techniques
Type
article
Field-Weighted Citation Impact
0.75
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article

Eye Tracking and Semantic Evaluation for Ceramic Teapot Product Modeling

Ziyan Hu, Yinan Fei, Liu We, Changlong Yu et al.
3 citations
Applied Sciences
Image Retrieval and Classification Techniques
0.75
article

Eye Tracking and Semantic Evaluation for Ceramic Teapot Product Modeling

Ziyan Hu, Yinan Fei, Liu We, Changlong Yu, Jiaqi Chen
article en
3 citations

Abstract

In addition to their practical and aesthetic qualities, ceramic teapots are highly decorative and stylish. Based on the theory of perceptual engineering, this study employs eye-tracking technology and semantic-difference methods to investigate user preferences for ceramic teapot shapes. Using eye-movement experiments, the study first determines users’ visual attention to different morphological regions. Using the orthogonal alignment method, nine styling samples were developed by combining expert classification of classic and traditional teapot styling elements. By combining a semantic perception questionnaire with a satisfaction questionnaire, the study evaluated users’ visual attention to these samples and their satisfaction with them. It was found that shapes characterized by classic, rounded, and proportional coordination were more in line with consumers’ aesthetic preferences despite the differences in semantic evaluations among consumers of different genders and ages, which led to relatively consistent consumer satisfaction. The purpose of this study is not only to provide a scientific basis for styling ceramic teapots but also to assist designers in grasping the laws of consumer preference in order to create better products.

Applied SciencesVol. 15(1)
Nanjing Forestry University (CN)
Openalex Percentile: Top 26%
Image Retrieval and Classification Techniques
0.75
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Eye Tracking and Semantic Evaluation for Ceramic Teapot Product Modeling — Ziyan Hu, Yinan Fei, et al. · Applied Sciences (2024) | TGRS Research Map | TGRS