Use of Beauty Applications and Ar Beauty Filters Among Young People: Trends and Challenges

Abstract

Beauty applications and augmented reality beauty filters are widely used on social media platforms. These filters detect and transform facial features by overlaying digital masks on moving faces. In addition to beauty applications that are used for retroactive photo editing, augmented reality beauty filters adapt to facial features in real-time, resulting in a unique digital beautifying process. This quantitative study explores how the use of beauty applications and the use of AR beauty filters impacts young people's perception of themselves, and whether their use affects the self-confidence and mental health of young people. It is based on an online survey that was conducted on a sample of 232 respondents from the category of young people (i.e. Millennials and Gen Z). For that purpose, this paper provides a relevant literature review on the attitude of young people toward trends that are imposed through social networks. The research results showed that more than 70% of respondents use ARB filters and applications to beautify their photos. Young people are largely satisfied with their appearance and more than half of them do not succumb to trends imposed by social networks. However, they notice that an increasing number of people strive for imposed ideals of beauty, which affects their self-confidence.