Design of Hotel Room Experience Based on Virtual Reality Technology
Main Article Content
Abstract
Virtual reality (VR) technology within the hotel industry marks a transformative shift in the way guests experience and engage with hospitality services. Virtual reality, with its immersive and interactive capabilities, enables hotels to provide a novel and engaging environment for guests. From virtual tours of hotel rooms and amenities to immersive experiences showcasing local attractions and cultural highlights, VR has the potential to revolutionize the pre-booking and on-site guest experience. This paper focused on the user experiences within hotel rooms enhanced with virtual reality (VR) technology. Leveraging content analysis, sentiment analysis, and advanced classification models, we aim to unravel the intricacies of user sentiments and preferences in this evolving domain. The content analysis reveals a spectrum of user opinions, ranging from enthusiastic endorsements of immersive VR content to nuanced critiques of room ambiance and interactivity. Subsequently, a sentiment analysis model accurately categorizes these sentiments, showcasing its effectiveness in capturing the diverse user expressions. Our classification analysis demonstrates the robustness of the sentiment analysis model, with high accuracy, precision, recall, and F1-score metrics. Comparatively, we introduce a proposed BERT model, harnessing advanced natural language processing techniques, and observe its performance against traditional sentiment analysis and an AutoEncoder Model. The results indicate that the BERT model matches the performance of traditional sentiment analysis, outperforming the AutoEncoder Model. This underscores the effectiveness of leveraging state-of-the-art language models in understanding and classifying user sentiments.
Article Details
This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.
References
Palos Sánchez, P. R., Folgado Fernández, J. A., & Rojas Sanchez, M. A. (2022). Virtual Reality Technology: Analysis based on text and opinion mining. Mathematical biosciences and engineering, 19 (8), 7856-7885.
Lampropoulos, G., Keramopoulos, E., Diamantaras, K., & Evangelidis, G. (2022). Augmented reality and virtual reality in education: Public perspectives, sentiments, attitudes, and discourses. Education Sciences, 12(11), 798.
López-Casaperalta, P., Díaz-Quintanilla, J. F., Rodríguez-Delgado, J. J., Acosta-Quelopana, A. M., & Duche Pérez, A. B. (2022). Virtual Reality, a Method to Achieve Social Acceptance of the Communities Close to Mining Projects: A Scoping Review.
Rezaei, E., Akbari-Kasgari, M., & Abraham, A. Text Mining on the Implications of Virtual Reality Technology and Prioritizing Emerged Concerns Using Fuzzy Hierarchized Analytic Network Process. Available at SSRN 4504341.
Maeng, Y., Lee, C. C., & Yun, H. (2023). Understanding Antecedents That Affect Customer Evaluations of Head-Mounted Display VR Devices through Text Mining and Deep Neural Network. Journal of Theoretical and Applied Electronic Commerce Research, 18(3), 1238-1256.
Nithyanandam, J. K., Chelliah, B., Venkatesan, D. B., Raja, H. K., & Thirumalai, B. (2023, August). Deeper linguistic analysis of prediction engines analysing users profiles for opinion mining and sentiment analysis. In AIP Conference Proceedings (Vol. 2790, No. 1). AIP Publishing.
Patil, K. R., Bhandari, S., Agrawal, A., Ayer, S. K., Perry, L. A., & Hallowell, M. R. (2023). Analysis of YouTube Comments to Inform the Design of Virtual Reality Training Simulations to Target Emotional Arousal. Journal of Construction Engineering and Management, 149(9), 04023077.
Rajapaksha, S., & Ranathunga, S. (2022, July). Aspect Detection in Sportswear Apparel Reviews for Opinion Mining. In 2022 Moratuwa Engineering Research Conference (MERCon) (pp. 1-6). IEEE.
Lee, C. K. M., Tsang, Y. P., Chong, W. W., & Au, Y. S. (2022). Achieving Eco-Innovative Smart Glass Design with the Integration of Opinion Mining, QFD and TRIZ.
Hsu, M. J., Ting, H., Lui, T. W., Chen, S. C., & Cheah, J. H. (2022). Guest editorial: Challenges and prospects of AIoT application in hospitality and tourism marketing. Journal of Hospitality and Tourism Technology, 13(3), 349-355.
Thelen, A. E. (2022). The Challenges and Benefits of Implementing Virtual Reality and Augmented Reality in the Hotel Industry.
Kocourek, M., Rohlíková, L., & Jenčková, J. PITTFALLS OF IMPLEMENTING ELEMENTS OF VIRTUAL REALITY INTO PROCESSES IN THE HOTEL INDUSTRY. CURRENT TRENDS IN SPA, HOSPITALITY AND TOURISM, 125.
Verma, S., Warrier, L., Bolia, B., & Mehta, S. (2022). Past, present, and future of virtual tourism-a literature review. International Journal of Information Management Data Insights, 2(2), 100085.
Hanaa, S. M., & Abdul, A. P. (2023). A holistic approach to augmented reality-related research in tourism: through bibliometric analysis. Journal of Hospitality and Tourism Insights.
Popescu, G. H., Valaskova, K., & Horak, J. (2022). Augmented reality shopping experiences, retail business analytics, and machine vision algorithms in the virtual economy of the metaverse. Journal of Self-Governance and Management Economics, 10(2), 67-81.
Manggopa, H. K., Komansilan, T., Kumajas, S., & Batmetan, J. R. (2022). Augmented Reality for Geospatial in E-Tourism: Current Status, Research Trends, and Future Directions. International Journal of Information Technology and Education, 1(3), 38-55.
Chan, L., Hogaboam, L., & Cao, R. (2022). Artificial intelligence in tourism and hospitality. In Applied Artificial Intelligence in Business: Concepts and Cases (pp. 213-229). Cham: Springer International Publishing.
Iranmanesh, M., Ghobakhloo, M., Nilashi, M., Tseng, M. L., Yadegaridehkordi, E., & Leung, N. (2022). Applications of disruptive digital technologies in hotel industry: A systematic review. International Journal of Hospitality Management, 107, 103304.
Ali, F. (2022). Augmented reality enhanced experiences in restaurants: Scale development and validation. International Journal of Hospitality Management, 102, 103180.
Goel, P., Mahadevan, K., & Punjani, K. K. (2023). Augmented and virtual reality in apparel industry: A bibliometric review and future research agenda. foresight, 25(2), 167-184.
Popescu, G. H., Ciurlău, C. F., Stan, C. I., Băcănoiu, C., & Tănase, A. (2022). Virtual workplaces in the metaverse: immersive remote collaboration tools, behavioral predictive analytics, and extended reality technologies. Psychosociological Issues in Human Resource Management, 10(1), 21-34.
Ramos, C. M. (2022). Business Intelligence Approach and Sentiment Analysis as a Management Strategy Applied to Study Customer Satisfaction in the Hospitality Sector. In Advances in Tourism, Technology and Systems: Selected Papers from ICOTTS 2021, Volume 2 (pp. 537-547). Singapore: Springer Nature Singapore.
Cheng, Y. S., Kuo, N. T., Chang, K. C., & Wu, H. T. (2022). Using data mining methods to predict repeat patronage intention in the restaurant industry. Journal of Quality Assurance in Hospitality & Tourism, 23(6), 1548-1574.