 Beauty aids: can AI improve human behaviours with imperfect data?Wen-Feng Wang, Bai-Zhou Xu, Bin Hu, Fuqing Li, Lalit Mohan Patnaik, Lu-Jie Cui and Yun-Zhu Pan International Journal of Data Science, 2025, vol. 10, issue 2, 119-135 Abstract: This paper aims to examine whether AI can improve human behaviours with imperfect data. Beauty aids with the pretrained AI model is taken as a practical example. This model integrated fuzzy reasoning with ResNet-50 for facial beauty prediction (FBP) and real-time recommendations of makeup behaviours. Results shown that the AI model can provide beauty aids for people whose facial data have not be included during the pretraining process and improve their makeup behaviours. The difference between the maximal and minimal values amounts to 33.62, implying that the effect of beauty aids is evident. The cross validation with perfect data further also confirmed that the effects of increased makeup experiences are worthy of further attention. The recommended degree of powder makeup for the volunteer is 0.118~0.2, while that of lipstick and blush makeup is 0.034~0.2. As an emerging technique, potential evolutions of the real-time beauty aids system with AI and data science will bring out the long-term future of FBP research. Keywords: models; parameters; data collection; makeup behaviours; FBP; facial beauty prediction. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijdsci:v:10:y:2025:i:2:p:119-135 Access Statistics for this article More articles in International Journal of Data Science from Inderscience Enterprises Ltd |
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