Image-oriented information is becoming increasingly important on social networking services (SNS); the background of this trend is the popularity of selfies. Currently, camera applications using augmented reality (AR) and artificial intelligence (AI) technologies are gaining traction. An AR camera app is a smartphone application that converts selfies into various interesting forms using filters. In this study, we investigated the change of keywords according to the time flow of selfies in Goolgle News articles through semantic network analysis. Additionally, we examined the effects of using an AR camera app on appearance satisfaction and self-esteem when taking a selfie. Semantic network analysis revealed that in 2013, postings of specific people were the most prominent selfie-related keywords. In 2019, keywords appeared regarding the launch of a new smartphone with a rear-facing camera for selfies; in 2020, keywords related to communication through selfies appeared. As a result of examining the effect of the degree of use of the AR camera app on appearance satisfaction, it was found that the higher the degree of use, the higher the user’s interest in appearance. As a result of examining the effect of the degree of use of the AR camera app on self-esteem, it was found that the higher the degree of use, the higher the user’s negative self-esteem.

Abstract
I. Introduction
Ⅱ. Background
    1. Selfie and AR camera app
    2. Appearance satisfaction
    3. Self-esteem
Ⅲ. Method
    1.Data collectionand analysis for semantic network analysis
    2.Data collection and analysis for empirical study
Ⅳ. Results
    1. Changes in keywords over time for selfie appearing in media articles
    2.Use and recognition of selfie behavior and AR camera apps
    3. The effect of AR camera app usage on appearance satisfaction and self-esteem
Ⅴ. Conclusion
References

• 이현정(한양대학교 의류학과 겸임교수) | Hyun-Jung Lee (Adjunct Professor, Dept. of Clothing & Textiles, Hanyang University, Korea) Corresponding author