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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM62436
Volume:
10 |
5 |
May 2026
Pages:
1-11
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
DEPARTMENT OF COMPUTER SCIENCE & IT
JAIN DEEMED TO BE UNIVERSITY
DEPARTMENT OF COMPUTER SCIENCE & IT
JAIN DEEMED TO BE UNIVERSITY
DEPARTMENT OF COMPUTER SCIENCE & IT
JAIN DEEMED TO BE UNIVERSITY
Anxiety disorders are among the most widespread types of mental illnesses that have a considerable impact on emotional states, social interactions, and overall quality of life [1], [29]. There are effective conventional methods of treating anxiety disorders such as CBT and pharmaceutical drugs, but certain issues such as limited availability, high expenses, negative side effects, and decreased motivation remain relevant [29], [30]. Recently, emerging technologies including AR and VR have gained popularity as an innovative approach to dealing with anxiety through controlled and engaging therapeutic exercises [13], [14]. This literature review aims at analyzing the use of AR/VR in anxiety disorders therapy, focusing specifically on exposure therapy, relaxation, and behavioral rehabilitation. At the same time, the role of AI and ML in improving treatment is explored, considering the possibility of creating personalized scenarios, monitoring patients' states and delivering individualized treatment [11], [27]. Evidence exists that AR/VR therapies may contribute positively to increasing patient motivation, improving ecological validity and making mental healthcare more accessible. Nonetheless, there still exist hurdles that hinder its adoption such as cybersickness, expensive implementation, concerns regarding privacy, and the non-existence of standard clinical practices [18], [27]. Future work areas to be considered in the study include research on intelligent adaptive technology, biosensors, and immersive therapy using telemedicine.
KEYWORDS
Nevertheless, Anxiety Disorders remain a global health concern and adversely affect emotional health, social relations, productivity, and general quality of life [1], [29]. Cognitive Behavioral therapy and medication are effective treatments, but they are not commonly utilized due to accessibility issue, high cost, potential side effects, not many health care professionals [29],[30]. The review also talked about how machine learning can turn strict treatments method into smart and adaptable ones. Still there are some limits that make it hard to use it more widely. Cost of implementation and biassed factors are hindering widespread implementation [18], [27]. In conclusion, immersive health care has a lot of promise. Improved hardware design, improved wearables for biofeedback measurement, telemedicine and adaptive intelligent systems will make augmented and virtual reality techniqyes more useful and easier to work on.
[1] World Health Organization. Mental disorders: Key facts. WHO Fact Sheet, Sep. 2023. Available: https://www.who.int/news-room/fact-sheets/detail/mental-disorders [2] H. Wu, X. Chen, and J. Zheng, "An EEG dataset of exploring navigation in virtual reality," Sci. Data, vol. 12, p. 1957, Dec. 2025, doi: 10.1038/s41597- 025-06175-2. PMCID: PMC12714754. [3] American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, 5th ed. (DSM-5). Washington, DC: APA, 2013. [4] M. R. Liebowitz, "Social phobia," Mod. Probl. Pharmacopsychiatry, vol. 22, pp. 141-173, 1987. [5] L. Moscovitch et al., "Frontal EEG asymmetry and symptom response to CBT in social anxiety disorder," Biol. Psychol., vol. 87, no. 3, pp. 379-385, 2011. [6] R. Delaux et al., "Mobile brain/body imaging of landmark-based navigation with high-density EEG," Eur. J. Neurosci., vol. 54, pp. 8256-8282, 2021. [7] Cheng et al., "The effect of landmark visualization in mobile maps on brain activity during VR navigation," Front. Virtual Real., vol. 3, 2022. [8] Tallon-Baudry, O. Bertrand, C. Delpuech, and J. Pernier, "Oscillatory gamma-band activity induced by a visual search task in humans," J. Neurosci., vol. 17, no. 2, pp. 722-734, 1997. [9] N. A. Shanok and N. A. Jones, "EEG asymmetry in childhood anxiety subtypes: A dimensional approach," Clin. EEG Neurosci., vol. 54, no. 1, pp. 59-68, 2023. M. Aldayel and A. Al-Nafjan, "A comprehensive exploration of ML techniques for EEG-based anxiety detection," PeerJ Comput. Sci., vol. 10, p. e1829, 2024, doi: 10.7717/peerj-cs.1829.
Publication Date
5/5/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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