Artificial Intelligence, Health Communication, and Gambling: Boomerang Effect in Prevention Campaigns.
A Narrative Review
DOI:
https://doi.org/10.62161/revvisual.v18.5863Keywords:
Artificial Intelligence, Health communication, Gambling, Boomerang effect, Prevention, Social psychology, Persuasive communicationAbstract
This article reviews the impact of artificial intelligence (AI) on health communication, with a focus on preventing addictive behaviors such as gambling. The boomerang effect, where preventive messages generate reactions contrary to those desired, is explored in relation to social psychology and persuasive communication theories. Additionally, the psychosocial and cultural implications for designing effective prevention campaigns are analyzed, and future research directions are proposed to optimize the application of AI in public health.
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References
Bandura, A. (1977). Social learning theory. Prentice-Hall.
Bandura, A. (2001). Social cognitive theory: An agentic perspective. Annual Review of Psychology, 52, 1–26. https://doi.org/10.1146/annurev.psych.52.1.1 DOI: https://doi.org/10.1146/annurev.psych.52.1.1
Baumeister, R. F., y Leary, M. R. (1997). Writing narrative literature reviews. Review of General Psychology, 1(3), 311–320. https://doi.org/10.1037/1089-2680.1.3.311 DOI: https://doi.org/10.1037/1089-2680.1.3.311
Bickmore, T. W., Kimani, E., Trinh, H., Pusateri, A., Paasche-Orlow, M. K., Y Magnani, J. W. (2018). Managing Chronic Conditions with a Smartphone-based Conversational Virtual Agent. En Proceedings of the 18th International Conference on Intelligent Virtual Agents (IVA ’18) (pp. 119–124). Association for Computing Machinery. https://doi.org/10.1145/3267851.3267908 DOI: https://doi.org/10.1145/3267851.3267908
Cuesta Cambra, U. (2012). Las TIC y la salud desde una perspectiva psicosocial. Revista De Comunicación Y Salud, 2(1), 29–33. https://doi.org/10.35669/revistadecomunicacionysalud.2012.2(1).29-33 DOI: https://doi.org/10.35669/revistadecomunicacionysalud.2012.2(1).29-33
Cresswell, K. M., Cunningham-Burley, S., & Sheikh, A. (2018). Health Care Robotics: Qualitative Exploration of Key Challenges and Future Directions. Journal of Medical Internet Research, 20(7), e10410. https://doi.org/10.2196/10410 DOI: https://doi.org/10.2196/10410
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008 DOI: https://doi.org/10.2307/249008
European Commission. (2019). Ethics guidelines for trustworthy AI. https://digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai
Festinger, L. (1957). A theory of cognitive dissonance. Stanford University Press. DOI: https://doi.org/10.1515/9781503620766
Fishbein, M., y Ajzen, I. (2010). Predicting and changing behavior: The reasoned action approach. Psychology Press. DOI: https://doi.org/10.4324/9780203838020
Green, B. N., Johnson, C. D., y Adams, A. (2006). Writing narrative literature reviews for peer-reviewed journals: Secrets of the trade. Journal of Chiropractic Medicine, 5(3), 101–117. https://doi.org/10.1016/S0899-3467(07)60142-6 DOI: https://doi.org/10.1016/S0899-3467(07)60142-6
He, J., Baxter, S.L., Xu, J., Zhou, X. y Zhang, K. The practical implementation of artificial intelligence technologies in medicine. Nat Med 25, 30–36 (2019). https://doi.org/10.1038/s41591-018-0307-0 DOI: https://doi.org/10.1038/s41591-018-0307-0
Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., Wang, Y., Dong, Q., Shen, H., y Wang, Y. (2017). Artificial intelligence in healthcare: Past, present and future. Stroke and Vascular Neurology, 2(4), 230. https://doi.org/10.1136/svn-2017-000101 DOI: https://doi.org/10.1136/svn-2017-000101
Kaplan, A., y Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15–25. https://doi.org/10.1016/j.bushor.2018.08.004 DOI: https://doi.org/10.1016/j.bushor.2018.08.004
Kaplan, A., y Haenlein, M. (2020). Rulers of the world, unite! The challenges and opportunities of artificial intelligence. Business Horizons, 63(1), 37–50. https://doi.org/10.1016/j.bushor.2019.09.003 DOI: https://doi.org/10.1016/j.bushor.2019.09.003
Laranjo, L., Dunn, A. G., Tong, H. L., Kocaballi, A. B., Chen, J., Bashir, R., y Coiera, E. (2018). Conversational agents in healthcare: A systematic review. Journal of the American Medical Informatics Association, 25(9), 1248–1258. https://doi.org/10.1093/jamia/ocy072 DOI: https://doi.org/10.1093/jamia/ocy072
LeCun, Y., Bengio, Y., y Hinton, G. (2015). Deep learning. nature, 521(7553), 436-444. DOI: https://doi.org/10.1038/nature14539
McKinsey Global Institute. (2017). Artificial intelligence: The next digital frontier? https://tinyurl.com/8ea6zz69
Mejías Martínez, G., y Cuesta Díaz, V. (2023). Análisis metodológico para la mejora de la comunicación en salud de los operadores de juegos: estudio de la iniciativa JuegosONCE.es. Revista De Comunicación Y Salud, 14, 1–23. https://doi.org/10.35669/rcys.2024.14.e338 DOI: https://doi.org/10.35669/rcys.2024.14.e338
Miner, A. S., Milstein, A., y Hancock, J. T. (2017). Talking to machines about personal mental health problems. JAMA, 318(13), 1217–1218. https://doi.org/10.1001/jama.2017.14151 DOI: https://doi.org/10.1001/jama.2017.14151
Petty, R. E., y Cacioppo, J. T. (1986). Communication and persuasion: Central and peripheral routes to attitude change. Springer.
Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
Topol, E. (2019). Deep medicine: How artificial intelligence can make healthcare human again. Basic Books.
Petty, R. E., y Cacioppo, J. T. (1986). Communication and persuasion: Central and peripheral routes to attitude change. Springer. DOI: https://doi.org/10.1007/978-1-4612-4964-1
Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
Topol, E. (2019). Deep medicine: How artificial intelligence can make healthcare human again. Basic Books.
World Health Organization. (2021). Global strategy on digital health 2020-2025. https://www.who.int/publications/i/item/9789240020924
World Health Organization. (2021). Ethics and governance of artificial intelligence for health: WHO guidance. World Health Organization. https://iris.who.int/handle/10665/341996.
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