Impact of artificial intelligence-generated self-images on children's body image development: a cross-sectional study in Mexico
Francisco López López, Karen Jiménez Arriaga, David Aaron Miranda García

TL;DR
This study shows that using AI-generated self-images can harm Mexican children's body image, but parental involvement can help reduce the negative effects.
Contribution
The study introduces a novel analysis of how generative AI affects children's body image development in a specific cultural context.
Findings
G-AI use is strongly linked to lower body satisfaction in children.
Parental mediation positively correlates with better body image outcomes.
Three distinct user profiles were identified based on exposure and supervision levels.
Abstract
Generative artificial intelligence (G-AI) has transformed children’s digital environments through tools that alter self-image using idealized filters and avatars. Early exposure to these technologies poses psychological risks, particularly regarding body perception during sensitive developmental stages. Objective To analyze the psychological effects of exposure to Generative Artificial Intelligence self-images on the body image development of Mexican children aged 6 to 12 years. Methods A quantitative, cross-sectional, and correlational study was conducted with a non-probabilistic sample of 302 children. Standardized scales were used to assess body satisfaction, G-AI exposure, and parental mediation. Descriptive statistics, ANOVA, principal component analysis (PCA), cluster analysis, and multiple linear regression were performed. Results A significant negative correlation was found…
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Taxonomy
TopicsVirtual Reality Applications and Impacts · Eating Disorders and Behaviors · Mobile Health and mHealth Applications
