20 years of research on virtual reality and augmented reality in tourism context: A text-mining approach

Virtual reality (VR) and Augmented Reality (AR) have undergone technical evolutions over the last few decades including improvements in immersion and the feeling of telepresence. Several examples of the applications of such techniques can be found in stores, tourism, hotel, restaurants, and destinations. Yet, a comprehensive analysis of studies employing such techniques in tourism-related studies is difficult to find. The current study uses citation network analysis and text-mining techniques to conduct a full-text analysis of 56 journal papers and 325 conference proceedings related to VR and AR in the tourism context. This paper intends to (i) provide an overview of the VR and AR-related tourism studies network and discuss them over time, (ii) present the most important topics and studies emerging from this literature, (iii) suggest avenues for further research. Findings reveal 10 core topics in journal papers and 11 core topics in conference proceedings, which are presented together with an overview of the published studies and the main authors. •Comprehensive analysis of 56 articles on Virtual Reality and Augmented Reality in Tourism.•Citation analysis shows the most cited papers on VR and AR in Tourism.•TAM and SOR are the theories mostly used in the studies.•A community detection algorithm reveals the top 10 more representative communities in the network.•Most of the authors have affiliation in universities located in Europe and Asia.