ABSTRACT. The purpose of this study is to examine body image self-consciousness, social media photo manipulation, and thinness ideal internalization. In this article, previous research findings were cumulated indicating that augmented reality-based virtual try-on experiences can be achieved by use of neuromorphic vision sensor data, beauty apps and filters, and visual and haptic object recognition tools. The contribution to the literature on facial appearance dissatisfaction and body image disturbance is by showing that visually appealing self-presentations require 3D-rendered digital outfit, virtual beauty try-ons, and 3D body scanning and virtual reality-based visual perception technologies. Throughout June 2024, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “body image self-consciousness” + “bio‐inspired artificial perceptual and aesthetic self-monitoring devices,” “augmented reality-based body-enhancing and 3D virtual garment simulation technologies,” and “emotion recognition and image processing algorithms.” As research published between 2020 and 2024 was inspected, only 169 articles satisfied the eligibility criteria, and 30 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: AXIS, CADIMA, DistillerSR, Eppi-Reviewer, Litstream, and Rayyan.

Keywords: body image self-consciousness; augmented reality; 3D virtual garment simulation; aesthetic self-monitoring; emotion recognition; image processing

How to cite: Mihăilă, R. (2024). “Bio‐Inspired Artificial Perceptual and Aesthetic Self-Monitoring Devices, Augmented Reality-based Body-Enhancing and 3D Virtual Garment Simulation Technologies, and Emotion Recognition and Image Processing Algorithms for Body Image Self-Consciousness,” Journal of Research in Gender Studies 14(2): 51–66. doi: 10.22381/JRGS14220243.

Received 12 July 2024 • Received in revised form 22 December 2024
Accepted 25 December 2024 • Available online 30 December 2024