IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i3p1525-d737433.html
   My bibliography  Save this article

Virtual Reality Aided Therapy towards Health 4.0: A Two-Decade Bibliometric Analysis

Author

Listed:
  • Zhen Liu

    (School of Design, South China University of Technology, Guangzhou 510006, China)

  • Lingfeng Ren

    (School of Design, South China University of Technology, Guangzhou 510006, China)

  • Chang Xiao

    (School of Design, South China University of Technology, Guangzhou 510006, China)

  • Ke Zhang

    (School of Design, South China University of Technology, Guangzhou 510006, China)

  • Peter Demian

    (School of Architecture, Building and Civil Engineering, Loughborough University, Loughborough LE11 3TU, UK)

Abstract

Health 4.0 aligns with Industry 4.0 and encourages the application of the latest technologies to healthcare. Virtual reality (VR) is a potentially significant component of the Health 4.0 vision. Though VR in health care is a popular topic, there is little knowledge of VR-aided therapy from a macro perspective. Therefore, this paper was aimed to explore the research of VR in aiding therapy, thus providing a potential guideline for futures application of therapeutic VR in healthcare towards Health 4.0. A mixed research method was adopted for this research, which comprised the use of a bibliometric analysis (a quantitative method) to conduct a macro overview of VR-aided therapy, the identification of significant research structures and topics, and a qualitative review of the literature to reveal deeper insights. Four major research areas of VR-aided therapy were identified and investigated, i.e., post-traumatic stress disorder (PTSD), anxiety and fear related disorder (A&F), diseases of the nervous system (DNS), and pain management, including related medical conditions, therapies, methods, and outcomes. This study is the first to use VOSviewer, a commonly used software tool for constructing and visualizing bibliometric networks and developed by Center for Science and Technology Studies, Leiden University, the Netherlands, to conduct bibliometric analyses on VR-aided therapy from the perspective of Web of Science core collection (WoSc), which objectively and visually shows research structures and topics, therefore offering instructive insights for health care stakeholders (particularly researchers and service providers) such as including integrating more innovative therapies, emphasizing psychological benefits, using game elements, and introducing design research. The results of this paper facilitate with achieving the vision of Health 4.0 and illustrating a two-decade (2000 to year 2020) map of pre-life of the Health Metaverse.

Suggested Citation

  • Zhen Liu & Lingfeng Ren & Chang Xiao & Ke Zhang & Peter Demian, 2022. "Virtual Reality Aided Therapy towards Health 4.0: A Two-Decade Bibliometric Analysis," IJERPH, MDPI, vol. 19(3), pages 1-26, January.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:3:p:1525-:d:737433
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/3/1525/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/3/1525/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Weishu Liu, 2019. "The data source of this study is Web of Science Core Collection? Not enough," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1815-1824, December.
    2. Youliang Huang & Qian Huang & Sajid Ali & Xing Zhai & Xiaoming Bi & Renquan Liu, 2016. "Rehabilitation using virtual reality technology: a bibliometric analysis, 1996–2015," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1547-1559, December.
    3. Kevin W. Boyack & Richard Klavans, 2010. "Co-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(12), pages 2389-2404, December.
    4. Henry Small, 1999. "Visualizing science by citation mapping," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 50(9), pages 799-813.
    5. Cobo, M.J. & López-Herrera, A.G. & Herrera-Viedma, E. & Herrera, F., 2011. "An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field," Journal of Informetrics, Elsevier, vol. 5(1), pages 146-166.
    6. M. M. Kessler, 1963. "Bibliographic coupling between scientific papers," American Documentation, Wiley Blackwell, vol. 14(1), pages 10-25, January.
    7. Yun Ling & Harold T Nefs & Nexhmedin Morina & Ingrid Heynderickx & Willem-Paul Brinkman, 2014. "A Meta-Analysis on the Relationship between Self-Reported Presence and Anxiety in Virtual Reality Exposure Therapy for Anxiety Disorders," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-12, May.
    8. Kevin W. Boyack & Richard Klavans, 2010. "Co‐citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(12), pages 2389-2404, December.
    9. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    10. Ole Ellegaard & Johan A. Wallin, 2015. "The bibliometric analysis of scholarly production: How great is the impact?," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1809-1831, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jinlu Shen & Xiangyu Zhou & Wei Wu & Liang Wang & Zhenying Chen, 2023. "Worldwide Overview and Country Differences in Metaverse Research: A Bibliometric Analysis," Sustainability, MDPI, vol. 15(4), pages 1-25, February.
    2. Xiaomei Luo & Yuduo Wu & Lina Niu & Lucheng Huang, 2022. "Bibliometric Analysis of Health Technology Research: 1990~2020," IJERPH, MDPI, vol. 19(15), pages 1-17, July.
    3. Sestino, Andrea & D'Angelo, Alfredo, 2023. "My doctor is an avatar! The effect of anthropomorphism and emotional receptivity on individuals' intention to use digital-based healthcare services," Technological Forecasting and Social Change, Elsevier, vol. 191(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ying Huang & Wolfgang Glänzel & Lin Zhang, 2021. "Tracing the development of mapping knowledge domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6201-6224, July.
    2. Raghu Raman & Nava Subramaniam & Vinith Kumar Nair & Avinash Shivdas & Krishnashree Achuthan & Prema Nedungadi, 2022. "Women Entrepreneurship and Sustainable Development: Bibliometric Analysis and Emerging Research Trends," Sustainability, MDPI, vol. 14(15), pages 1-31, July.
    3. Miha Dominko & Miroslav Verbič, 2019. "The Economics of Subjective Well-Being: A Bibliometric Analysis," Journal of Happiness Studies, Springer, vol. 20(6), pages 1973-1994, August.
    4. Sofia Aparisi-Torrijo & Gabriela Ribes-Giner, 2022. "Female entrepreneurial leadership factors," International Entrepreneurship and Management Journal, Springer, vol. 18(4), pages 1707-1737, December.
    5. Aparisi Torrijo, Sofia & Ribes Giner, Gabriela, 2022. "Entrepreneurial leadership factors: a bibliometric analysis for the 2000-2020 period," Cuadernos de Gestión, Universidad del País Vasco - Instituto de Economía Aplicada a la Empresa (IEAE).
    6. Khare, Apoorv & Jain, Rajesh, 2022. "Mapping the conceptual and intellectual structure of the consumer vulnerability field: A bibliometric analysis," Journal of Business Research, Elsevier, vol. 150(C), pages 567-584.
    7. Rodolfo Modrigais Strauss Nunes & Susana Carla Farias Pereira, 2022. "Intellectual structure and trends in the humanitarian operations field," Annals of Operations Research, Springer, vol. 319(1), pages 1099-1157, December.
    8. Piñeiro-Chousa, Juan & López-Cabarcos, M. Ángeles & Romero-Castro, Noelia María & Pérez-Pico, Ada María, 2020. "Innovation, entrepreneurship and knowledge in the business scientific field: Mapping the research front," Journal of Business Research, Elsevier, vol. 115(C), pages 475-485.
    9. Yucheng Zhang & Zhiling Wang & Lin Xiao & Lijun Wang & Pei Huang, 2023. "Discovering the evolution of online reviews: A bibliometric review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-22, December.
    10. Yulei Xie & Ling Ji & Beibei Zhang & Gordon Huang, 2018. "Evolution of the Scientific Literature on Input–Output Analysis: A Bibliometric Analysis of 1990–2017," Sustainability, MDPI, vol. 10(9), pages 1-17, September.
    11. Perez-Vega, Rodrigo & Hopkinson, Paul & Singhal, Aishwarya & Mariani, Marcello M., 2022. "From CRM to social CRM: A bibliometric review and research agenda for consumer research," Journal of Business Research, Elsevier, vol. 151(C), pages 1-16.
    12. Ignacio Rodríguez-Rodríguez & José-Víctor Rodríguez & Niloofar Shirvanizadeh & Andrés Ortiz & Domingo-Javier Pardo-Quiles, 2021. "Applications of Artificial Intelligence, Machine Learning, Big Data and the Internet of Things to the COVID-19 Pandemic: A Scientometric Review Using Text Mining," IJERPH, MDPI, vol. 18(16), pages 1-29, August.
    13. Zamani, Mehdi & Yalcin, Haydar & Naeini, Ali Bonyadi & Zeba, Gordana & Daim, Tugrul U, 2022. "Developing metrics for emerging technologies: identification and assessment," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    14. Jun-Ping Qiu & Ke Dong & Hou-Qiang Yu, 2014. "Comparative study on structure and correlation among author co-occurrence networks in bibliometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1345-1360, November.
    15. Duong, Quang Huy & Zhou, Li & Meng, Meng & Nguyen, Truong Van & Ieromonachou, Petros & Nguyen, Duy Tiep, 2022. "Understanding product returns: A systematic literature review using machine learning and bibliometric analysis," International Journal of Production Economics, Elsevier, vol. 243(C).
    16. Toshiyuki Hasumi & Mei-Shiu Chiu, 2022. "Online mathematics education as bio-eco-techno process: bibliometric analysis using co-authorship and bibliographic coupling," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4631-4654, August.
    17. Md Abu Helal & Nathaniel Anderson & Yu Wei & Matthew Thompson, 2023. "A Review of Biomass-to-Bioenergy Supply Chain Research Using Bibliometric Analysis and Visualization," Energies, MDPI, vol. 16(3), pages 1-32, January.
    18. Yun, Jinhyuk & Ahn, Sejung & Lee, June Young, 2020. "Return to basics: Clustering of scientific literature using structural information," Journal of Informetrics, Elsevier, vol. 14(4).
    19. Satish Kumar & Weng Marc Lim & Nitesh Pandey & J. Christopher Westland, 2021. "20 years of Electronic Commerce Research," Electronic Commerce Research, Springer, vol. 21(1), pages 1-40, March.
    20. Yiming Xiao & Han Wu & Guohua Wang & Hong Mei, 2021. "Mapping the Worldwide Trends on Energy Poverty Research: A Bibliometric Analysis (1999–2019)," IJERPH, MDPI, vol. 18(4), pages 1-22, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:3:p:1525-:d:737433. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.