Authors :
Pattaradit Samatha; Kasiya Duangyaiphuridech; Vipop Chunrunag; Atichaya Amattayakul; Pongkit Ekvitayavetchanukul
Volume/Issue :
Volume 10 - 2025, Issue 7 - July
Google Scholar :
https://tinyurl.com/zxy4vss2
Scribd :
https://tinyurl.com/356xwcfe
DOI :
https://doi.org/10.38124/ijisrt/25jul1857
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Note : Google Scholar may take 30 to 40 days to display the article.
Abstract :
Adolescent mental health is increasingly affected by complex stressors across academic, social, familial, and
identity-related domains. With the rise of generative artificial intelligence (AI), tools such as ChatGPT, Gemini, and
DeepSeek offer new pathways for psychological support. This study investigates the impact of AI-based interventions on
adolescent mental health across multiple domains, including academic stress, peer relationships, family dynamics, gender
identity issues, financial concerns, and physical and psychological well-being.
A cross-sectional survey was conducted among 217 Thai high school students aged 15–18. Participants responded to
a structured questionnaire assessing their stress levels, emotional needs, and usage of AI platforms for support. Likert-scale
metrics were used to evaluate perceived effectiveness and satisfaction across each domain. Statistical analyses, including
correlation, t-tests, and ANOVA, were employed to explore relationships between stress factors, demographic variables, and
perceived AI impact.
Results indicate that while no statistically significant differences were found in AI satisfaction between gender or grade
levels, students experiencing high academic or social stress tended to report slightly higher engagement with AI tools.
Notably, AI was perceived as most helpful in academic support and emotional ventilation, especially among students facing
peer or family-related stress.
This research contributes to the understanding of AI’s potential as an accessible mental health intervention for
adolescents. It highlights the multidimensional roles generative AI tools can play in supplementing emotional well-being
support, while also emphasizing the need for further longitudinal and ethically guided studies.
Keywords :
Adolescent Mental Health, Artificial Intelligence Interventions, ChatGPT, Generative AI, Psychological Support.
References :
- Bhat, R., Kowshik, S., Suresh, S., Alamelu, G., Gite, S., & Albattat, A. (2025). Digital companionship or psychological risk? The role of AI characters in shaping youth mental health. Asian Journal of Psychiatry. https://doi.org/10.1016/j.ajp.2024.104356
- Cai, L., & Tan, Y. (2023). Chatbots in psychological care: Adolescent perception of AI empathy and trust. AI & Society, 38, 687–703. https://doi.org/10.1007/s00146-022-01455-w
- Chataut, R., Phoummalayvane, A., & Akl, R. (2023). Unleashing the power of IoT: A comprehensive review of IoT applications and future prospects in healthcare, agriculture, smart homes, smart cities, and Industry 4.0. Sensors, 23(16), 7194. https://doi.org/10.3390/s23167194
- Ekvitayavetchanukul, P., Thanitnan, T., Akwittayavechnukul, N., & Muenkiat, W. (2024). Artificial intelligence in Thai healthcare: Current landscape, awareness, and future outlook. International Journal of Social Science and Human Research, 7(7). https://doi.org/10.47191/ijsshr/v7-i07-89
- Ekvitayavetchanukul, P., & Ekvitayavetchanukul, P. (2025). AI-driven design thinking: Transforming learning efficiency in pre-medical education. Medical Research Archives, 13(4). https://doi.org/10.18103/mra.v13i4.6410
- Gerlich, M. (2023). Perceptions and Acceptance of Artificial Intelligence: A Multi-Dimensional Study. Social Sciences, 12(9), 502.https://doi.org/10.3390/socsci12090502
- Thapa, S., & Adhikari, S. (2024). GPT-4o and multimodal large language models as companions for mental wellbeing. Asian Journal of Psychiatry. https://doi.org/10.1016/j.ajp.2024.104157
- Kasneci, E., Sessler, K., & Küchemann, S. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274
- Kent, S. (S.), Houghton, L., & Licorish, S. (2022). Towards an understanding of the relationship between institutional theory, affective events theory, negative discrete emotions, and the development of feral systems when using human resource information systems. Computers in Human Behavior Reports, 8, 100264. https://doi.org/10.1016/j.chbr.2022.100264
- McArthur, B. A., Racine, N., & Madigan, S. (2022). Mental health trends among adolescents post-COVID-19: The role of digital supports. The Lancet Child & Adolescent Health, 6(10), 745–753. https://doi.org/10.1016/S2352-4642(22)00198-5
- Saha, K., Torous, J., Ernala, S. K., Rizuto, C., Stafford, A., & De Choudhury, M. (2019). A computational study of mental health awareness campaigns on social media. Translational Behavioral Medicine, 9(6), 1197–1207. https://doi.org/10.1093/tbm/ibz028
- Saeidnia, H. R., Hashemi Fotami, S. G., Lund, B., & Ghiasi, N. (2024). Ethical considerations in artificial intelligence interventions for mental health and well-being: Ensuring responsible implementation and impact. Social Sciences, 13(7), 381. https://doi.org/10.3390/socsci13070381
- Singh, B., Singh, V., Kumari, N., & Ekvitayavetchanukul, P. (2025). Artificial intelligence and machine learning: Shaping the future of computing with significant real-world potential. In Proceedings from Taylor & Francis Group. http://dx.doi.org/10.1201/9781003606208-95
- Takona, J. P. (2024). Research design: Qualitative, quantitative, and mixed methods approaches / sixth edition. Quality & Quantity, 58, 1011–1013. https://doi.org/10.1007/s11135-023-01798-2
- World Health Organization. (2021). Adolescent mental health. https://www.who.int/news-room/fact-sheets/detail/adolescent-mental-health
- Youvan, D. (2025). DeepSeek and China's AI renaissance: The rise of the Four Dragons and Six Tigers. https://doi.org/10.13140/RG.2.2.17393.80483
- Yu, Y., Liu, Y., Zhang, J., Huang, Y., & Wang, Y. (2025). Understanding generative AI risks for youth: A taxonomy based on empirical data. Human-Computer Interaction. https://doi.org/10.48550/arXiv.2502.16383
Adolescent mental health is increasingly affected by complex stressors across academic, social, familial, and
identity-related domains. With the rise of generative artificial intelligence (AI), tools such as ChatGPT, Gemini, and
DeepSeek offer new pathways for psychological support. This study investigates the impact of AI-based interventions on
adolescent mental health across multiple domains, including academic stress, peer relationships, family dynamics, gender
identity issues, financial concerns, and physical and psychological well-being.
A cross-sectional survey was conducted among 217 Thai high school students aged 15–18. Participants responded to
a structured questionnaire assessing their stress levels, emotional needs, and usage of AI platforms for support. Likert-scale
metrics were used to evaluate perceived effectiveness and satisfaction across each domain. Statistical analyses, including
correlation, t-tests, and ANOVA, were employed to explore relationships between stress factors, demographic variables, and
perceived AI impact.
Results indicate that while no statistically significant differences were found in AI satisfaction between gender or grade
levels, students experiencing high academic or social stress tended to report slightly higher engagement with AI tools.
Notably, AI was perceived as most helpful in academic support and emotional ventilation, especially among students facing
peer or family-related stress.
This research contributes to the understanding of AI’s potential as an accessible mental health intervention for
adolescents. It highlights the multidimensional roles generative AI tools can play in supplementing emotional well-being
support, while also emphasizing the need for further longitudinal and ethically guided studies.
Keywords :
Adolescent Mental Health, Artificial Intelligence Interventions, ChatGPT, Generative AI, Psychological Support.