Title: Adaptive Health Chatbots for Teaching Personalized Health Concepts: A
Study of Mety
Authors:
Kiana Ghaus, Amisi Ghaus and Dr. John Leddo
Journal:
International Journal of Social Science and Economic Research (IJSSER)
ISSN: 2455-8834
Volume:
11
Issue:
5
Publication Date:
May 2026
DOI:10.46609/IJSSER.2026.v11i05.035
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Kiana Ghaus, Amisi Ghaus and Dr. John Leddo
MyEdMaster, LLC,
Leesburg Virginia, USA
MLA 8 Ghaus, Kiana, et al. "Adaptive Health Chatbots for Teaching Personalized Health Concepts: A Study of Mety." Int. j. of Social Science and Economic Research, vol. 11, no. 5, May 2026, pp. 2383-2391, doi.org/10.46609/IJSSER.2026.v11i05.035. Accessed May 2026.
APA 6 Ghaus, K., Ghaus, A., & Leddo, D. (2026, May). Adaptive Health Chatbots for Teaching Personalized Health Concepts: A Study of Mety. Int. j. of Social Science and Economic Research, 11(5), 2383-2391. Retrieved from https://doi.org/10.46609/IJSSER.2026.v11i05.035
Chicago Ghaus, Kiana, Amisi Ghaus, and Dr. John Leddo. "Adaptive Health Chatbots for Teaching Personalized Health Concepts: A Study of Mety." Int. j. of Social Science and Economic Research 11, no. 5 (May 2026), 2383-2391. Accessed May, 2026. https://doi.org/10.46609/IJSSER.2026.v11i05.035.
References
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[3] . Denecke, K., & Bamidis, P. (2021). Artificial intelligence for health: A review of chatbots for health care. Frontiers in Artificial Intelligence, 4, Article 630407. https://doi.org/10.3389/frai.2021.630407
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[5] . Fogg, B. J. (2009). A behavior model for persuasive design. Proceedings of the 4th International Conference on Persuasive Technology, 1–7. https://doi.org/10.1145/1541948.1541999
[6] . Hale, T., & Guan, H. (2015). Screen time and sleep among school?aged children and adolescents: A systematic literature review. Sleep Medicine Reviews, 21, 50–58. https://doi.org/10.1016/j.smrv.2014.07.007
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[8] . National Institutes of Health. (2022). Healthy sleep: Understanding sleep hygiene. U.S. Department of Health & Human Services. https://www.nih.gov
ABSTRACT:
This research examines and evaluates the effectiveness of an adaptive digital health chatbot
(METY) designed to teach general-health concepts through personalized, interactive dialogue,
compared to a standard non-adaptive chatbot. Using a structured knowledge-assessment
framework (facts, strategies, procedures, and rationales), METY helps users understand health
topics such as nutrition, physical activity, sleep, hydration, and illness prevention. The
instructional material defines general health as ‘the holistic state of a person’s physical, mental,
and social wellbeing. The system emphasizes conceptual learning and comprehension tailored to
individual contexts rather than prescribing actions or medical advice (Centers for Disease
Control and Prevention, 2023; National Institutes of Health, 2022).
Twenty-eight participants from diverse backgrounds completed parallel questionaries-one using
adaptive chatbot (METY) and another using a standard chatbot. Results indicate that METY
significantly improved user comprehension (M =25.65 vs. 21.33), t (26) = 2.90, p = .0075.
Qualitative feedback highlighted METY’s clarity, usability, and ability to simplify complex
concepts. Findings suggest adaptive chatbots can enhance literacy, engagement, and conceptual
understanding (Denecke & Bamidis, 2021).
The International Journal of Social Science and Economic Research Inviting Papers/Articles for Upcoming Issue Volume 11 No. (10) October 2026 .
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