The purpose of this study is to present a comprehensive review of the use of structural equation modeling (SEM) in augmented reality (AR) studies in the context of the COVID-19 pandemic. IEEE Xplore Scopus, Wiley Online Library, Emerald Insight, and ScienceDirect are the main five data sources for data collection from Jan 2020 to May 2021. The results showed that a variety of external factors were used to construct the SEM models rather than using the parsimonious ones. The reports showed a fair balance between the direct and indirect methods to contact participants. Despite the COVID-19 pandemic, few publications addressed the issue of data collection and evaluation methods, whereas video demonstrations of the augmented reality (AR) apps were utilized

翻译：本研究旨在系统回顾COVID-19疫情期间增强现实（AR）研究中结构方程建模（SEM）的应用情况。数据来源涵盖IEEE Xplore、Scopus、Wiley Online Library、Emerald Insight及ScienceDirect五大主流数据库，收集时间为2020年1月至2021年5月。结果表明，研究者更倾向于采用多样化外部因素构建SEM模型，而非使用简约模型。报告显示，直接与间接方式接触参与者的比例相对均衡。尽管处于COVID-19疫情期间，仅有少量文献关注数据收集与评估方法问题，而增强现实应用程序的视频演示被广泛采用。