Augmented Reality Body and Face Filters for Digitally Manipulated Visual Narratives: Physical Appearance Ideals, Perceived Social Validation, and Aesthetic and Affective Technologies

This paper provides a systematic literature review of studies investigating flawless fashionable ideals, digitally-enhanced augmented reality-based perception of beauty, and individual expressions and representations of visual identity. Throughout June 2022, we performed a quantitative literature re...

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Bibliographic Details
Published inJournal of research in gender studies Vol. 12; no. 2; pp. 160 - 175
Main Authors Mișa, Anamaria, Melenciuc, Mihaela, Pădurariu, Ioana, Văduva, Cecilia
Format Journal Article
LanguageEnglish
Published New York Addleton Academic Publishers 2022
Subjects
Aesthetics
Algorithms
Augmentation
Augmented Reality
Beauty
Behaviorism
Bibliometrics
Body image
Consciousness
Gender Studies
ICT Information and Communications Technologies
Layout
Literature reviews
Mapping
Media studies
Narratives
Objectification
Personal appearance
Quality assessment
Self expression
Self image
Social interaction
Social networks
Social structure
Visual perception
Visualization
Romania
aesthetic and affective technology
digitally manipulated visual narrative
perceived social validation
augmented reality body and face filter
physical appearance ideal
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Summary:This paper provides a systematic literature review of studies investigating flawless fashionable ideals, digitally-enhanced augmented reality-based perception of beauty, and individual expressions and representations of visual identity. Throughout June 2022, we performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “augmented reality body and face filters for digitally manipulated visual narratives” + “physical appearance ideals,” “perceived social validation,” and “aesthetic and affective technologies.” As we inspected research published between 2013 and 2022, only 169 articles satisfied the eligibility criteria. By eliminating controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, we decided upon 32, generally empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Distiller SR, MMAT, and ROBIS.
ISSN:2164-0262
2378-3524
DOI:10.22381/JRGS122202210