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# A bibliometric analysis of immersive technology in museum exhibitions: exploring user experience

This study aims to comprehensively understand the existing literature on immersive technology in museum exhibitions, focusing on virtual reality (VR), augmented reality (AR), and the visitor experienc

## Overview

**Authors:** Jingjing Li, Walton Wider, Yoichi Ochiai, Muhammad Ashraf Fauzi

**Publication Date:** 12 September 2023

**Link:** [https://www.frontiersin.org/journals/virtual-reality/articles/10.3389/frvir.2023.1240562/full](<https://www.frontiersin.org/journals/virtual-reality/articles/10.3389/frvir.2023.1240562/full&#xA;>)

**Keywords:** Immersive technology, virtual reality (VR), augmented reality (AR), cultural heritage, museum exhibitions, user experience, bibliometric analysis, Web of Science

**Type:** Peer-Reviewed Journals/White Papers

## Summary

This study aims to comprehensively understand the existing literature on immersive technology in museum exhibitions, focusing on virtual reality (VR), augmented reality (AR), and the visitor experience. The research utilizes a bibliometric approach by examining a dataset of 722 articles with two main research objectives. Firstly, it seeks to analyze current trends in immersive technology literature, specifically emphasizing VR and the user experience in museum exhibitions through co-citation analysis. Secondly, it aims to identify emerging research trends using co-word analysis.


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