A systematic review of structural equation modeling in augmented reality applications

TL;DR

This paper systematically reviews how structural equation modeling (SEM) has been applied in augmented reality (AR) research during the COVID-19 pandemic, highlighting trends, methodologies, and gaps.

Contribution

It provides a comprehensive overview of SEM usage in AR studies amid COVID-19, identifying prevalent external factors and data collection approaches.

Findings

Use of diverse external factors in SEM models

Balanced use of direct and indirect contact methods

Limited focus on data collection and evaluation methods

Abstract

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