Revealing The Academic Terrain: A Bibliometric Analysis of AI Virtual Reality Research Patterns

Authors

  • Vanisa Siti Nurjanah Universitas Majalengka
  • Yuliani Pratiwi Herlina Universitas Majalengka

DOI:

https://doi.org/10.58812/wsis.v2i01.557

Keywords:

Research on AI Virtual Reality, Evaluation of Bibliographic Information, Scholarly Writings, Trends in Publications, Collaboration Networks

Abstract

"Revealing the Academic Terrain: A Bibliometric Analysis of AI Virtual Reality Research Patterns," the author explores the complex field of academic works that investigate the relationship between artificial intelligence (AI) and virtual reality (VR). Using bibliometric techniques, we carefully investigate the development, patterns, and influential figures in this ever-changing subject. Our investigation reveals the intricate network of academic publications, clarifying trends in publishing trends, cooperation networks, and topical areas of interest. Our study offers useful insights for scholars, practitioners, and policymakers who want a thorough grasp of the present and potential future orientations of AI virtual reality research by negotiating this scholarly landscape.

References

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S. K. Bakshi, S. R. Lin, D. S. W. Ting, M. F. Chiang, and J. Chodosh, “The era of artificial intelligence and virtual reality: Transforming surgical education in ophthalmology,” British Journal of Ophthalmology, vol. 105, no. 10. BMJ Publishing Group, pp. 1325–1328, Oct. 01, 2021. doi: 10.1136/bjophthalmol-2020-316845.

T. K. Metzinger, “Why is virtual reality interesting for philosophers?,” Frontiers Robotics AI, vol. 5, no. SEP, 2018, doi: 10.3389/frobt.2018.00101.

D. Qi et al., “Virtual reality operating room with AI guidance: design and validation of a fire scenario,” Surg Endosc, vol. 35, no. 2, pp. 779–786, Feb. 2021, doi: 10.1007/s00464-020-07447-1.

A. Winkler-Schwartz et al., “Artificial Intelligence in Medical Education: Best Practices Using Machine Learning to Assess Surgical Expertise in Virtual Reality Simulation,” J Surg Educ, vol. 76, no. 6, pp. 1681–1690, Nov. 2019, doi: 10.1016/j.jsurg.2019.05.015.

S. Cavedoni, A. Chirico, E. Pedroli, P. Cipresso, and G. Riva, “Digital Biomarkers for the Early Detection of Mild Cognitive Impairment: Artificial Intelligence Meets Virtual Reality,” Front Hum Neurosci, vol. 14, Jul. 2020, doi: 10.3389/fnhum.2020.00245.

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Published

2024-01-26

How to Cite

Nurjanah, V. S., & Herlina, Y. P. (2024). Revealing The Academic Terrain: A Bibliometric Analysis of AI Virtual Reality Research Patterns. West Science Interdisciplinary Studies, 2(01), 188–196. https://doi.org/10.58812/wsis.v2i01.557

Issue

Vol. 2 No. 01 (2024): West Science Interdisciplinary Studies

Section

Articles

License

Copyright (c) 2024 Vanisa Siti Nurjanah, Yuliani Pratiwi Herlina

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.