La interacción hombre-máquina en psicoterapia

Una revisión sistemática sobre el uso de inteligencias artificiales en el contexto de la salud mental

Autores/as

DOI:

https://doi.org/10.34024/prometeica.2024.29.16268

Palabras clave:

salud mental, inteligencia artificial, tecnología, psicoterapia

Resumen

La aplicación de las tecnologías móviles de la información y la comunicación al apoyo de la salud mental ha atraído la atención de las autoridades. Con el auge de la Inteligencia Artificial, este movimiento podría potenciarse exponencialmente. En este contexto, esta revisión pretende comprobar la aplicabilidad de las Inteligencias Artificiales (IAs) en Salud Mental y analizar los aspectos que favorecen la relación entre las IAs y los usuarios. Para ello, se realizó una revisión sistemática en las bases de datos PubMed y Biblioteca Virtual em Saúde entre el 25 de mayo y el 23 de junio de 2023. Se seleccionaron los 100 primeros artículos más relevantes con las palabras clave: "Artificial Intelligence", "Mental Health", "Chatbots", "Psychotherapy", "Psychology" y sus equivalentes en inglés. Los criterios de inclusión fueron: acceso abierto, publicación a partir de 2018, en portugués o inglés y mención del uso de IAs en el campo de la Salud Mental. Para reducir el riesgo de sesgo, se excluyeron los estudios que no midieron el impacto de las intervenciones utilizando métodos experimentales o cuasi-experimentales. Para sintetizar los datos, se delimitaron algunos puntos específicos de análisis, como "Resultado de la intervención", "Aspectos que favorecen la relación", entre otros. Los criterios de inclusión fueron cumplidos por 24 estudios, 17 de los cuales presentaron resultados positivos en sus intervenciones. El uso de las IAs en Salud Mental tiene un gran potencial de expansión y los resultados obtenidos en este trabajo pueden orientar la implantación de estas prácticas y futuras investigaciones en el área.

Métricas

Cargando métricas ...

Descargas

Los datos de descargas todavía no están disponibles.

Biografía del autor/a

Sérgio Alberto Nascimento Melo Junior, Universidade da Amazônia

Graduando em Psicologia desde 2020, Sérgio atua como estagiário na Coordenadoria Estadual de Violência Doméstica do Tribunal de Justiça de Roraima e como fundador/coordenador do grupo de estudos “Episteme”. Ele também foi autor de dois pôsteres científicos apresentados no II Encontro Internacional de Práticas Psicossociais em Saúde Mental.

Caio Leite de Aguiar, Faculdade Cathedral

Graduado em Marketing em 2023 e graduando em Psicologia desde 2022, Caio atua como aplicador técnico em análise do comportamento aplicada (ABA) no Instituto Autismo em Vista. Ele também foi autor de um pôster científico apresentado no II Encontro Internacional de Práticas Psicossociais em Saúde Mental.

Larissa Kalyne Silva da Cunha, Faculdade Cathedral

Graduando em Psicologia desde 2022, Larissa Kalyne atuou como aplicadora técnica em análise do comportamento aplicada (ABA) no Instituto Autismo em Vista. Ela também foi autora de um pôster científico apresentado no II Encontro Internacional de Práticas Psicossociais em Saúde Mental.

Jean Carlos Rodrigues Brustolin, Mestrado Profissional em Práticas Institucionais em Saúde Mental da Universidade Paulista e Universidade da Amazônia

Graduado em Educação Física e em Psicologia, Jean Carlos atua como psicólogo clínico, psicólogo escolar na Escola Estadual Monteiro Lobato e professor universitário na Universidade da Amazônia (UNAMA). Ele também foi autor de dois pôsteres científicos apresentados no II Encontro Internacional de Práticas Psicossociais em Saúde Mental.

Citas

Ali, R., Hoque, E., Duberstein, P., Schubert, L., Razavi, S. Z., Kane, B., ... & Van Orden, K. (2021). Aging and engaging: A pilot randomized controlled trial of an online conversational skills coach for older adults. The American Journal of Geriatric Psychiatry, 29(8), 804-815.

Anmella, G., Sanabra, M., Primé-Tous, M., Segú, X., Cavero, M., Morilla, I., Grande, I., Ruiz, V., Mas, A., Martín-Villalba, I., Caballo, A., Esteva, J. P., Rodríguez-Rey, A., Piazza, F., Valdesoiro, F. J., Rodriguez-Torrella, C., Espinosa, M., Virgili, G., Sorroche, C., Ruiz, A., … Hidalgo-Mazzei, D. (2023). Vickybot, a Chatbot for Anxiety-Depressive Symptoms and Work-Related Burnout in Primary Care and Health Care Professionals: Development, Feasibility, and Potential Effectiveness Studies. Journal of medical Internet research, 25, e43293. https://doi.org/10.2196/43293

Bennion, M. R., Hardy, G. E., Moore, R. K., Kellett, S., & Millings, A. (2020). Usability, Acceptability, and Effectiveness of Web-Based Conversational Agents to Facilitate Problem Solving in Older Adults: Controlled Study. Journal of medical Internet research, 22(5), e16794. https://doi.org/10.2196/16794

Bickmore, T. W., Puskar, K., Schlenk, E. A., Pfeifer, L. M., & Sereika, S. M. (2010). Maintaining reality: Relational agents for antipsychotic medication adherence. Interacting with Computers, 22(4), 276-288.

Bird, T., Mansell, W., Wright, J., Gaffney, H., & Tai, S. (2018). Manage your life online: a web-based randomized controlled trial evaluating the effectiveness of a problem-solving intervention in a student sample. Behavioural and cognitive psychotherapy, 46(5), 570-582.

Bray, L., Sharpe, A., Gichuru, P., Fortune, P. M., Blake, L., & Appleton, V. (2020). The acceptability and impact of the Xploro digital therapeutic platform to inform and prepare children for planned procedures in a hospital: before and after evaluation study. Journal of medical Internet research, 22(8), e17367.

Christoforakos, L., Feicht, N., Hinkofer, S., Löscher, A., Schlegl, S. F., & Diefenbach, S. (2021). Connect With Me. Exploring Influencing Factors in a Human-Technology Relationship Based on Regular Chatbot Use. Frontiers in digital health, 3, 689999. https://doi.org/10.3389/fdgth.2021.689999

Daley, K., Hungerbuehler, I., Cavanagh, K., Claro, H. G., Swinton, P. A., & Kapps, M. (2020). Preliminary Evaluation of the Engagement and Effectiveness of a Mental Health Chatbot. Frontiers in digital health, 2, 576361. https://doi.org/10.3389/fdgth.2020.576361

Danieli, M., Ciulli, T., Mousavi, S. M., & Riccardi, G. (2021). A conversational artificial intelligence agent for a mental health care app: Evaluation study of its participatory design. JMIR Formative Research, 5(12), e30053.

De Gennaro, M., Krumhuber, E. G., & Lucas, G. (2020). Effectiveness of an Empathic Chatbot in Combating Adverse Effects of Social Exclusion on Mood. Frontiers in psychology, 10, 3061. https://doi.org/10.3389/fpsyg.2019.03061

Fiske, A., Henningsen, P., & Buyx, A. (2019). Your robot therapist will see you now: ethical implications of embodied artificial intelligence in psychiatry, psychology, and psychotherapy. Journal of medical Internet research, 21(5), e13216.

Gabrielli, S., Rizzi, S., Bassi, G., Carbone, S., Maimone, R., Marchesoni, M., & Forti, S. (2021). Engagement and Effectiveness of a Healthy-Coping Intervention via Chatbot for University Students During the COVID-19 Pandemic: Mixed Methods Proof-of-Concept Study. JMIR mHealth and uHealth, 9(5), e27965. https://doi.org/10.2196/27965

Gaffney, H., Mansell, W., & Tai, S. (2020). Agents of change: Understanding the therapeutic processes associated with the helpfulness of therapy for mental health problems with relational agent MYLO. Digital Health, 6, 2055207620911580.

Goonesekera, Y., & Donkin, L. (2022). A Cognitive Behavioral Therapy Chatbot (Otis) for Health Anxiety Management: Mixed Methods Pilot Study. JMIR formative research, 6(10), e37877. https://doi.org/10.2196/37877

He, Y., Yang, L., Zhu, X., Wu, B., Zhang, S., Qian, C., & Tian, T. (2022). Mental Health Chatbot for Young Adults With Depressive Symptoms During the COVID-19 Pandemic: Single-Blind, Three-Arm Randomized Controlled Trial. Journal of medical Internet research, 24(11), e40719. https://doi.org/10.2196/40719

Inkster, B., Sarda, S., & Subramanian, V. (2018). An empathy-driven, conversational artificial intelligence agent (Wysa) for digital mental well-being: real-world data evaluation mixed-methods study. JMIR mHealth and uHealth, 6(11), e12106.

Klos, M. C., Escoredo, M., Joerin, A., Lemos, V. N., Rauws, M., & Bunge, E. L. (2021). Artificial Intelligence-Based Chatbot for Anxiety and Depression in University Students: Pilot Randomized Controlled Trial. JMIR formative research, 5(8), e20678. https://doi.org/10.2196/20678

Liu, H., Peng, H., Song, X., Xu, C., & Zhang, M. (2022). Using AI chatbots to provide self-help depression interventions for university students: A randomized trial of effectiveness. Internet interventions, 27, 100495. https://doi.org/10.1016/j.invent.2022.100495

Lucas, G. M., Rizzo, A., Gratch, J., Scherer, S., Stratou, G., Boberg, J., & Morency, L. P. (2017). Reporting mental health symptoms: breaking down barriers to care with virtual human interviewers. Frontiers in Robotics and AI, 4, 51.

Marzano, L., Bardill, A., Fields, B., Herd, K., Veale, D., Grey, N., & Moran, P. (2015). The application of mHealth to mental health: opportunities and challenges. The Lancet Psychiatry, 2(10), 942-948.

Mauriello, M. L., Tantivasadakarn, N., Mora-Mendoza, M. A., Lincoln, E. T., Hon, G., Nowruzi, P., Simon, D., Hansen, L., Goenawan, N. H., Kim, J., Gowda, N., Jurafsky, D., & Paredes, P. E. (2021). A Suite of Mobile Conversational Agents for Daily Stress Management (Popbots): Mixed Methods Exploratory Study. JMIR formative research, 5(9), e25294. https://doi.org/10.2196/25294

Mehta, A., Niles, A. N., Vargas, J. H., Marafon, T., Couto, D. D., & Gross, J. J. (2021). Acceptability and effectiveness of artificial intelligence therapy for anxiety and depression (Youper): Longitudinal observational study. Journal of medical Internet research, 23(6), e26771.

Menezes, P., Quayle, J., Claro, H. G., Da Silva, S., Brandt, L. R., Diez-Canseco, F., ... & Araya, R. (2019). Use of a mobile phone app to treat depression comorbid with hypertension or diabetes: a pilot study in Brazil and Peru. JMIR mental health, 6(4), e11698.

Murray, C. J., Vos, T., Lozano, R., Naghavi, M., Flaxman, A. D., Michaud, C., ... & Haring, D. (2012). Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. The lancet, 380(9859), 2197-2223.

Nebot, À., Domènech, S., Albino-Pires, N., Mugica, F., Benali, A., Porta, X., ... & Santos, P. M. (2022). LONG-REMI: an AI-based technological application to promote healthy mental longevity grounded in reminiscence therapy. International journal of environmental research and public health, 19(10), 5997.

Norcross, J. C., & Wampold, B. E. (2011). Evidence-based therapy relationships: research conclusions and clinical practices. Psychotherapy, 48(1), 98 .

Philip, P., Dupuy, L., Morin, C. M., de Sevin, E., Bioulac, S., Taillard, J., ... & Micoulaud-Franchi, J. A. (2020). Smartphone-based virtual agents to help individuals with sleep concerns during COVID-19 confinement: feasibility study. Journal of medical Internet research, 22(12), e24268.

Piette, J. D., Newman, S., Krein, S. L., Marinec, N., Chen, J., Williams, D. A., Edmond, S. N., Driscoll, M., LaChappelle, K. M., Kerns, R. D., Maly, M., Kim, H. M., Farris, K. B., Higgins, D. M., Buta, E., & Heapy, A. A. (2022). Patient-Centered Pain Care Using Artificial Intelligence and Mobile Health Tools: A Randomized Comparative Effectiveness Trial. JAMA internal medicine, 182(9), 975–983. https://doi.org/10.1001/jamainternmed.2022.3178

Prochaska, J. J., Vogel, E. A., Chieng, A., Kendra, M., Baiocchi, M., Pajarito, S., & Robinson, A. (2021). A therapeutic relational agent for reducing problematic substance use (Woebot): development and usability study. Journal of medical Internet research, 23(3), e24850.

Rathnayaka, P., Mills, N., Burnett, D., De Silva, D., Alahakoon, D., & Gray, R. (2022). A Mental Health Chatbot with Cognitive Skills for Personalised Behavioural Activation and Remote Health Monitoring. Sensors (Basel, Switzerland), 22(10), 3653. https://doi.org/10.3390/s22103653

Sabour, S., Zhang, W., Xiao, X., Zhang, Y., Zheng, Y., Wen, J., Zhao, J., & Huang, M. (2023). A chatbot for mental health support: exploring the impact of Emohaa on reducing mental distress in China. Frontiers in digital health, 5, 1133987. https://doi.org/10.3389/fdgth.2023.1133987

Sichman, J. S. (2021). Inteligência Artificial e sociedade: avanços e riscos. Estudos Avançados, 35, 37-50.

World Health Organization. (2005). Fifty-eighth World Health Assembly, Geneva, 16-25 may 2005: resolutions and decisions, annex. In Fifty-eighth world health assembly, geneva, 16-25 may 2005: resolutions and decisions, annex.

World Health Organization (2013). Mental Health Action Plan 2013-2020.

World Health Organization. (2011). mHealth: new horizons for health through mobile technologies.

World Health Organization. (2001). The World Health Report 2001: Mental health: new understanding, new hope.

World Health Organization. (2022). World mental health report: transforming mental health for all.

Publicado

2024-03-05

Cómo citar

Nascimento Melo Junior, S. A., Leite de Aguiar, C., Kalyne Silva da Cunha, L., & Rodrigues Brustolin, J. C. (2024). La interacción hombre-máquina en psicoterapia: Una revisión sistemática sobre el uso de inteligencias artificiales en el contexto de la salud mental. Prometeica - Revista De Filosofía Y Ciencias, 29, 335–347. https://doi.org/10.34024/prometeica.2024.29.16268

Número

Sección

Artículos - Dosier

Artículos similares

> >> 

También puede {advancedSearchLink} para este artículo.

Artículos más leídos del mismo autor/a