Enhancing Virtual Assistance for Mental Health Support
Article Sidebar
Main Article Content
Abstract
This research introduces Enhancing Mental Health Support through Virtual Assistance by an efficient and Comprehensive Approach. Virtual assistant features empathetic conversation capabilities, regular symptom tracking, suggestions, and connections with psychiatrists. The project’s objectives include assessing the efficacy of virtual assistance in improving user engagement and mental health outcomes and exploring user perceptions of privacy and effectiveness. We investigate the efficacy of virtual assistants in crisis intervention, ongoing therapy support, and providing coping strategies, emphasising their role in accessibility and anonymity. Furthermore, the research explores ethical considerations, including data privacy, the importance of human oversight, and the potential for virtual assistants to complement traditional therapeutic practices. The increasing demand for mental health support has led to the exploration of innovative solutions, with virtual assistance emerging as a promising avenue. This paper examines the enhancement of virtual assistants in providing mental health support by integrating advanced technologies such as natural language processing (NLP) and machine learning (ML). These systems can offer personalized responses and resources tailored to individual needs by analysing user interactions and emotional cues.
Downloads
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
How to Cite
References
Sezgin, E. (2024). Redefining Virtual Assistants in Health Care: The Future with Large Language Models. Journal of Medical Internet Research, 26, e53225. DOI: https://doi.org/10.2196/53225
Shah, I., Sheth, N., Shah, D., Sawant, V., & Patil, S. (2024). Mental Health Assistant Using Machine-Learning. Educational Administration: Theory and Practice,30(4),10775–10781. DOI: https://doi.org/10.53555/kuey.v30i4.8346
K. Denecke, S. Vaaheesan, and A. Arulnathan, "A Mental Health Chatbot for Regulating Emotions (SERMO) - Concept and Usability Test", IEEE Transactions on Emerging Topics in Computing, pp. 1-1, February 2020. DOI: https://doi.org/10.1109/TETC.2020.2974478
K. Nithya, S. Sharma, and R. R. Sharma, "Eigenvalues of Hankel Matrix based Epilepsy Detection using EEG Signals", 2023 2nd International Conference on Paradigm Shifts in Communications Embedded Systems, pp. 1-6, 2023. DOI: https://doi.org/10.1109/PCEMS58491.2023.10136046.
Punia, A., & Bhakuni, P. (2025). Development of AI- and NLP-Driven Chatbots and Virtual Assistants for Mental Health Support. In Artificial Intelligence and Mental Health (pp. 150-170). IGI Global. DOI: https://doi.org/10.4018/979-8-3693-9341-3.ch010
Roy, K., Khandelwal, V., Goswami, R., Dolbir, N., Malekar, J., & Sheth, A. (2024). Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case. Proceedings of the AAAI Conference on Artificial Intelligence, 37(13), 16479-16481. DOI: https://doi.org/10.1609/aaai.v37i13.27085.
T. Saha, S. Reddy, A. Das, S. Saha, and P. Bhattacharyya, "A Shoulder to Cry on: Towards A Motivational Virtual Assistant for Assuaging Mental Agony," in Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Seattle, United States, 2022, pp. 2436–2449. DOI: http://doi.org/10.18653/v1/2022.naacl-main.174.
Ioniță, DT., Bogdan, I.C., Modran, H.A., Dinu, A. (2025). Education and Mental Health Through Artificial Intelligence Virtual Assistant. In: Auer, M.E., Rüütmann, T. (eds) Futureproofing Engineering Education for Global Responsibility. ICL 2024. Lecture Notes in Networks and Systems, vol 1281. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-83520-9_55
Olson, J.R., Lucy, M., Kellogg, M.A. et al. What Happens When Training Goes Virtual? Adapting Training and Technical Assistance for the School Mental Health Workforce in Response to COVID-19. School Mental Health 13, 160–173 (2021). DOI: https://doi.org/10.1007/s12310-020-09401-x
Шевченко, А. І., Панок, В. Г., Шевцов, А. Г., Слюсар, В. І., Малий, Р. І., Єрошенко, Т. В., & Назар, М. М. (2024). Розробка віртуального психологічного асистента зі штучним інтелектом у сфері охорони здоров’я. Клінічна та профілактична медицина, (8), 15–27. DOI: https://doi.org/10.31612/2616-4868.8.2024.02
Abd-Alrazaq AA, Alajlani M, Ali N, Denecke K, Bewick BM, Househ M. Perceptions and Opinions of Patients About Mental Health Chatbots: Scoping Review. J Med Internet Res 2021;23(1):e17828. DOI: https://doi.org/10.2196/17828
K. N and U. J, "MediBot: Healthcare Assistant on Mental Health and Well Being," 2023 7th International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS), Bangalore, India, 2023, pp. 1-5, DOI: http://dx.doi.org/10.1109/CSITSS60515.2023.10334083
Revell, G. (2024). Generative AI Applications in the Health and Well-Being Domain: Virtual and Robotic Assistance and the Need for Niche Language Models (NLMs). In: Lyu, Z. (eds) Applications of Generative AI. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-46238-2_9
Davis, C.R.; Murphy, K.J.; Curtis, R.G.; Maher, C.A. A Process Evaluation Examining the Performance, Adherence, and Acceptability of a Physical Activity and Diet Artificial Intelligence Virtual Health Assistant. Int. J. Environ. Res. Public Health 2020, 17, 9137. DOI: https://doi.org/10.3390/ijerph17239137.
Malvika Singh, Kaveri Devi Mishra, Applications of Virtual Reality in Mental Health. (2019). In International Journal of Recent Technology and Engineering (Vol. 8, Issue 2S11, pp. 3735–3739). DOI: https://doi.org/10.35940/ijrte.b1481.0982s1119
Safdar B, Mr. M., & Mr. Pandiarajan S. (2025). Early Detection and Intervention for Children’s Mental Health Issues Using Machine Learning. In International Journal of Preventive Medicine and Health (Vol. 5, Issue 2, pp. 14–16). DOI: https://doi.org/10.54105/ijpmh.b1049.05020125
Gupta, D., Markale, A., & Kulkarni, R. (2021). Mental Health Quantifier. In International Journal of Engineering and Advanced Technology (Vol. 10, Issue 5, pp. 187–190). DOI: https://doi.org/10.35940/ijeat.e2694.0610521
Shaifali Chauhan, Ankur Garg, Predictive Research for Mental Health Disease. (2019). In International Journal of Innovative Technology and Exploring Engineering (Vol. 8, Issue 9S2, pp. 196–199). DOI: https://doi.org/10.35940/ijitee.i1038.0789s219
Shala, M., & Çollaku, P. J. (2022). Coping Strategies, Anxiety and Mental Health Among Female Undergraduate Students in Kosova. In International Journal of Management and Humanities (Vol. 8, Issue 9, pp. 19–24). DOI: https://doi.org/10.35940/ijmh.i1488.058922