Research on the association mechanism and evaluation model between EMG data and product aesthetic quality in product aesthetics evaluation

Abstract

Product aesthetics play a crucial role in user satisfaction and product success. However, the feasibility and accuracy of using electromyographic (EMG) data for product aesthetic quality evaluation are unknown. Here, we analysed the correlations and associations between EMG physiological data and product aesthetic quality of 60 subjects by SPSS software and designed a product aesthetic quality evaluation model based on the multivariate logistic (M) algorithm to answer this question. It was found that the EMG data of the zygomatic and buccal muscles did not have significant correlations with product aesthetic quality, whereas five indicators in the EMG data of the frowning muscles had significant correlations relationships with product aesthetic quality. We also found that the overall accuracy of the product aesthetic quality evaluation model was 72.3%, which was able to better distinguish product aesthetic quality. This study demonstrates that product aesthetic quality can be evaluated using EMG data and that the product aesthetic quality evaluation model can provide an objective and accurate decision-making reference to help engineers and designers in product aesthetic quality evaluation and product design. This study lays the foundation for the future integrated multimodal physiology to conduct aesthetics quality evaluations with a high degree of accuracy.