# A bibliometric analysis of immersive technology in museum exhibitions: exploring user experience ## 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]() **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. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://library.xrguild.org/current-peer-reviewed-immersive-technologies/a-bibliometric-analysis-of-immersive-technology-in-museum-exhibitions-exploring-user-experience.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.