ABSTRACT. Based on an in-depth survey of the literature, the purpose of the paper is to explore 3D virtual try-on and facial expression recognition technologies, augmented reality body and face filters, and artificial visual perception and speech emotion recognition systems. Throughout January 2025, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “digital social practices” + “3D augmented reality try-on,” “digital beauty technologies,” and “visually appealing self-presentations.” As research published between 2017 and 2024 was inspected, only 197 articles satisfied the eligibility criteria, and 39 mainly empirical sources were selected. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: Abstrackr, DistillerSR, JBI SUMARI, MMAT, Nested Knowledge, and SRDR+.

Keywords: 3D augmented reality; try-on; digital beauty technologies; visually appealing self-presentations; digital social practices

How to cite: Tudosă, P., Nica, E., Szpilko, D., Almășan, C. M., Manole, C., & Stamule, S. (2025). “3D Augmented Reality Try-on and Digital Beauty Technologies for Visually Appealing Self-Presentations in Digital Social Practices,” Journal of Research in Gender Studies 15(1): 9–24. doi: 10.22381/JRGS15120251.

Received 4 February 2025 • Received in revised form 7 July 2025
Accepted 9 July 2025 • Available online 25 July 2025