Beauty Apps for Digital Self-Monitoring and Self-Tracking: Expressive Gestures and Movements, Negative Moods and Emotions, and Visual and Haptic Imagery
Beauty Apps for Digital Self-Monitoring and Self-Tracking: Expressive Gestures and Movements, Negative Moods and Emotions, and Visual and Haptic Imagery

Summary/Abstract: I draw on a substantial body of theoretical and empirical research on unrealistic beauty images and representations, computer-generated simulated realities, and visual aesthetic sensitivity and facial representations. With increasing evidence of augmented reality body and face filters through digitally manipulated visual media, there is an essential demand for comprehending whether facial emotion recognition systems and self-portrait photo-taking as regards beauty standards further ideal enhanced facial and body appearance, social norms, and visual representations. In this research, prior findings were cumulated indicating that digitally altered body images integrate negative body image and self-esteem, unrealistic body images, body validation behaviors, and self-presentation norms. Throughout June 2022, I performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “beauty apps for digital self-monitoring and self-tracking” + “expressive gestures and movements,” “negative moods and emotions,” and “visual and haptic imagery.” As I inspected research published between 2017 and 2022, only 152 articles satisfied the eligibility criteria. By removing controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, I decided upon 24, generally empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AXIS, Dedoose, MMAT, and SRDR.

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