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-mo...
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| Format: | Article |
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MDPI AG
2024-12-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/1/46 |
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| author | Wei Liu Ziyan Hu Yinan Fei Jiaqi Chen Changlong Yu |
| author_facet | Wei Liu Ziyan Hu Yinan Fei Jiaqi Chen Changlong Yu |
| author_sort | Wei Liu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-b0a3578a0b4b4cdca0227db5a008a38c |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-b0a3578a0b4b4cdca0227db5a008a38c2025-01-10T13:14:15ZengMDPI AGApplied Sciences2076-34172024-12-011514610.3390/app15010046Eye Tracking and Semantic Evaluation for Ceramic Teapot Product ModelingWei Liu0Ziyan Hu1Yinan Fei2Jiaqi Chen3Changlong Yu4College of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, ChinaCollege of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, ChinaCollege of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, ChinaCollege of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, ChinaCollege of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, ChinaIn 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.https://www.mdpi.com/2076-3417/15/1/46eye-tracking experimentsemantic evaluationceramic |
| spellingShingle | Wei Liu Ziyan Hu Yinan Fei Jiaqi Chen Changlong Yu Eye Tracking and Semantic Evaluation for Ceramic Teapot Product Modeling Applied Sciences eye-tracking experiment semantic evaluation ceramic |
| title | Eye Tracking and Semantic Evaluation for Ceramic Teapot Product Modeling |
| title_full | Eye Tracking and Semantic Evaluation for Ceramic Teapot Product Modeling |
| title_fullStr | Eye Tracking and Semantic Evaluation for Ceramic Teapot Product Modeling |
| title_full_unstemmed | Eye Tracking and Semantic Evaluation for Ceramic Teapot Product Modeling |
| title_short | Eye Tracking and Semantic Evaluation for Ceramic Teapot Product Modeling |
| title_sort | eye tracking and semantic evaluation for ceramic teapot product modeling |
| topic | eye-tracking experiment semantic evaluation ceramic |
| url | https://www.mdpi.com/2076-3417/15/1/46 |
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