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

Wang, Yong, Song, Fanghao, Liu, Yan, Li, Yaying, Wang, Weihao, Huang, Qiqi and Hu, Yang 2023. Research on the association mechanism and evaluation model between fNIRS data and aesthetic quality in product aesthetic quality evaluation. IEEE Transactions on Affective Computing 10.1109/TAFFC.2023.3344189

Preview

PDF - Accepted Post-Print Version Download (730kB) | Preview

Abstract

Aesthetic quality evaluation has been an important research question in the field of user experience in product design. However, the feasibility and accuracy of using fNIRS data for product aesthetic quality evaluation are unknown. In this paper, we analyze the correlation and association between fNIRS data and aesthetic quality and designed a product aesthetic quality evaluation model to answer this question. We find that HBO2 data in the prefrontal (S19-D11), frontal (S4-D3), temporal (S3-D1), and parietal (S8-D8) regions of the brain have significant correlations and logistic relationships with high visual product aesthetic quality, whereas HBO2 data in the prefrontal (S19-D11) and parietal (S8-D8) regions of the brain have significant correlations and association relationships. These data can be used for products aesthetic quality evaluation. Importantly, the overall prediction accuracy of the model to evaluate products’ aesthetic quality is 84.1%. The model is therefore able to better distinguish and evaluate the aesthetic quality of products. This study demonstrates the feasibility of using fNIRS data to evaluate the aesthetic quality of products and shows that the product aesthetic quality evaluation model can provide an objective and accurate decision-making reference to help designers evaluate and improve the aesthetic quality of products.

Item Type:	Article
Date Type:	Published Online
Status:	In Press
Schools:	Computer Science & Informatics
Publisher:	Institute of Electrical and Electronics Engineers
ISSN:	1949-3045
Date of First Compliant Deposit:	12 February 2024
Last Modified:	12 Feb 2024 22:29
URI:	https://orca.cardiff.ac.uk/id/eprint/166125

Actions (repository staff only)

Edit Item