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Pixels of Perfection and Self-Perception: Deconstructing AR Beauty Filters and Their Challenge to Unbiased Body Image
Doh, Miriam; Canali, Corinna; Karagianni, Anastasia
2024In IMX 2024 - Proceedings of the 2024 ACM International Conference on Interactive Media Experiences
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Keywords :
AR beauty flters; Feminist theory; Self-representation; Social media; Transparency; AR beauty flter; Body image; Gender bias; Gender disparity; Regulatory oversight; Societal implications; Computer Graphics and Computer-Aided Design; Human-Computer Interaction
Abstract :
[en] This work-in-progress paper delves into the efects of AR beauty flters on social media, scrutinising their contribution to unrealistic beauty standards and their psychological impact on users. Utilising objectifcation theory, it explores the reinforcement of gender biases through these flters. The study highlights gender disparities in TikTok flter usage and suggests a transparency-enhancing "disclaimer" feature. It further addresses the regulatory implications of the AI Act on the development and use of AR flters. Ultimately, the study calls for augmented transparency and regulatory oversight to address the broader societal implications of beauty flters and their perpetuation of biased stereotypes.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Doh, Miriam  ;  Université de Mons - UMONS > Faculté Polytechnique > Service Information, Signal et Intelligence artificielle ; IRIDIA Lab, Université Libre de Bruxelles (ULB), Bruxelles, Belgium
Canali, Corinna ;  Design, Diversity, and New Commons Research Group, Universität der Künste Berlin, Weizenbaum Institute, Germany
Karagianni, Anastasia ;  Law, Science, Technology & Society (LSTS) Research Group, Vrije Universiteit Brussels (VUB), Brussels, Belgium
Language :
English
Title :
Pixels of Perfection and Self-Perception: Deconstructing AR Beauty Filters and Their Challenge to Unbiased Body Image
Publication date :
07 June 2024
Event name :
ACM International Conference on Interactive Media Experiences
Event place :
Stockholm, Swe
Event date :
12-06-2024 => 14-06-2024
By request :
Yes
Main work title :
IMX 2024 - Proceedings of the 2024 ACM International Conference on Interactive Media Experiences
Publisher :
Association for Computing Machinery, Inc
ISBN/EAN :
9798400705038
Peer review/Selection committee :
Peer reviewed
Research unit :
F105 - Information, Signal et Intelligence artificielle
Research institute :
R450 - Institut NUMEDIART pour les Technologies des Arts Numériques
Infortech
Funders :
ACM SIGCHI
ACM SIGMM
Digital Futures
Funding text :
This work was supported by the ARIAC project (No. 2010235), funded by the Service Public de Wallonie (SPW Recherche). This work was supported by the FARI - AI for the Common Good Institute (ULBVUB), fnanced by the European Union, with the support of the Brussels Capital Region (Innoviris and Paradigm).
Available on ORBi UMONS :
since 24 November 2024

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