Research Article
Study on Consumer Acceptance Evaluation Model of Ceramic Tea Set Based on Facial Emotion Recognition Technology
@INPROCEEDINGS{10.4108/eai.18-11-2022.2326848, author={Xianghui Li and Takaya Yuizono and Ruixuan Li and Bing Wang}, title={Study on Consumer Acceptance Evaluation Model of Ceramic Tea Set Based on Facial Emotion Recognition Technology}, proceedings={Proceedings of the 4th International Conference on Economic Management and Model Engineering, ICEMME 2022, November 18-20, 2022, Nanjing, China}, publisher={EAI}, proceedings_a={ICEMME}, year={2023}, month={2}, keywords={ceramic tea sets facial emotion recognition classifiers machine learning features of tea sets}, doi={10.4108/eai.18-11-2022.2326848} }- Xianghui Li
Takaya Yuizono
Ruixuan Li
Bing Wang
Year: 2023
Study on Consumer Acceptance Evaluation Model of Ceramic Tea Set Based on Facial Emotion Recognition Technology
ICEMME
EAI
DOI: 10.4108/eai.18-11-2022.2326848
Abstract
The purpose of this study is to explore a consumer acceptance evaluation model of ceramic tea sets based on facial emotion recognition and machine learning. Through the evaluation experiment of ceramic tea sets, we obtained the facial expression pictures of participants when observing tea sets and the questionnaire data of Self-assessment Manikin (SAM). Then the Microsoft facial emotion recognition API (Microsoft azure) was used to calculate the facial expressions of participants and form a data set of facial emotion characteristic variables. Finally, the models of consumer acceptance recognition were built by using random forest (RF) and neural network (NN) classifier. The results show that: 1) the accuracy of emotion value recognition using RF classifier was 82.26% and that of arousal is 74.7%. These two results are better than the model built by the NN classifier. This shows that the RF classifier model can meet the market acceptance evaluation of ceramic tea sets in practice, and contribute to the design and development of ceramic tea sets. 2) The participants in this experiment have a higher acceptance of delicate, shiny, and beautiful tea sets, while they gave a lower score for tea sets with primitive and crude style, rough texture, and heavy shape, which also confirms the general aesthetic taste of young people.