Chatbot para Terapia Cognitivo Comportamental focada em Ruminação (RFCBT) em jovens universitários

• Alana Lúcia Oliveira Departamento de Computação – Universidade Federal de Sergipe
• Leonardo Matos Departamento de Computação – Universidade Federal de Sergipe
• Zenith Delabrida Departamento de Psicologia – Universidade Federal de Sergipe
• Gilton da Silva Departamento de Computação – Universidade Federal de Sergipe
• Hendrik Macêdo Departamento de Computação – Universidade Federal de Sergipe
• Bruno Prado Departamento de Computação – Universidade Federal de Sergipe

Resumo

Este trabalho tem como objetivo descrever a importância do desenvolvimento de um chatbot como ferramenta de auxílio para aplicação de terapias cognitivas comportamentamentais, demonstrando uma revisão sistemática de trabalho que utilizam tecnicas de Machine Learning, Arvores de decisão, Processamento de Linguagem Natural e RNN para construi aplicações, como chatbots, em prol desse objetivo de auxílio.

Referências

Bakker, D., Kazantzis, N., Rickwood, D., and Rickard, N. (2016). Mental health smartphone apps: review and evidence-based recommendations for future develop?ments. JMIR mental health, 3(1).

Bickmore, T., Gruber, A., and Picard, R. (2005). Establishing the computer–patient wor?king alliance in automated health behavior change interventions. Patient education and counseling, 59(1):21–30.

Carlos, G. A. (1999). Métodos e técnicas de pesquisa social. São Paulo: Atlas.

Cook, L. and Watkins, E. (2016). Guided, internet-based, rumination-focused cognitive behavioural therapy (i-rfcbt) versus a no-intervention control to prevent depression in high-ruminating young adults, along with an adjunct assessment of the feasibility of
unguided i-rfcbt, in the reducing stress and preventing depression trial (respond): study protocol for a phase iii randomised controlled trial. Trials, 17(1):1.

D’Alfonso, S., Santesteban-Echarri, O., Rice, S., Wadley, G., Lederman, R., Miles, C., Gleeson, J., and Alvarez-Jimenez, M. (2017). Artificial intelligence-assisted online social therapy for youth mental health. Frontiers in psychology, 8:796.

Fitzpatrick, K. K., Darcy, A., and Vierhile, M. (2017). Delivering cognitive behavior therapy to young adults with symptoms of depression and anxiety using a fully automated conversational agent (woebot): a randomized controlled trial. JMIR mental health,
4(2).

Hill, J., Ford, W. R., and Farreras, I. G. (2015). Real conversations with artificial in?telligence: A comparison between human–human online conversations and human–chatbot conversations. Computers in Human Behavior, 49:245–250.

Hvenegaard, M., Watkins, E. R., Poulsen, S., Rosenberg, N. K., Gondan, M., Grafton, B., Austin, S. F., Howard, H., and Moeller, S. B. (2015). Rumination-focused cognitive behaviour therapy vs. cognitive behaviour therapy for depression: study protocol for a
randomised controlled superiority trial. Trials, 16(1):344.

Jacobs, R. H., Watkins, E. R., Peters, A. T., Feldhaus, C. G., Barba, A., Carbray, J., and Langenecker, S. A. (2016). Targeting ruminative thinking in adolescents at risk for de_x005fpressive relapse: Rumination-focused cognitive behavior therapy in a pilot randomized
controlled trial with resting state fmri. PloS one, 11(11):e0163952.

Kitchenham, B. (2004). Procedures for performing systematic reviews. Keele, UK, Keele University, 33(2004):1–26.

Ly, K. H., Ly, A.-M., and Andersson, G. (2017). A fully automated conversational agent for promoting mental well-being: A pilot rct using mixed methods. Internet Interventions, 10:39–46.

Miner, A., Chow, A., Adler, S., Zaitsev, I., Tero, P., Darcy, A., and Paepcke, A. (2016a). Conversational agents and mental health: Theory-informed assessment of language and affect. In Proceedings of the Fourth International Conference on Human Agent
Interaction, pages 123–130. ACM.

Miner, A. S., Milstein, A., Schueller, S., Hegde, R., Mangurian, C., and Linos, E. (2016b). Smartphone-based conversational agents and responses to questions about mental health, interpersonal violence, and physical health. JAMA internal medicine, 176(5):619–
625.

Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., Group, P., et al. (2009). Preferred reporting items for systematic reviews and meta-analyses: the prisma statement. PLoS medicine, 6(7):e1000097.

Muñoz-López, M. Á. and del Rocío Hernández-Pozo, M. (2017). Software development to increase coping skills in adolescents. Journal of Behavior, Health & Social Issues, 9(1):7–12.

Shah, H., Warwick, K., Vallverdú, J., and Wu, D. (2016). Can machines talk? comparison of eliza with modern dialogue systems. Computers in Human Behavior, 58:278–295.

Tan, Z., Liu, X., Liu, X., Cheng, Q., and Zhu, T. (2017). Designing microblog direct messages to engage social media users with suicide ideation: interview and survey study on weibo. Journal of medical Internet research, 19(12).

Watkins, E. R. (2016). Rumination-Focused Cognitive-Behavioral Therapy for Depres_x0002_sion. Guilford Publications.

Watkins, E. R., Mullan, E., Wingrove, J., Rimes, K., Steiner, H., Bathurst, N., East_x0002_man, R., and Scott, J. (2011). Rumination-focused cognitive-behavioural therapy for residual depression: phase ii randomised controlled trial. The British Journal of Psy_x0002_chiatry, 199(4):317–322.

Watts, S., Mackenzie, A., Thomas, C., Griskaitis, A., Mewton, L., Williams, A., and An_x0002_drews, G. (2013). Cbt for depression: a pilot rct comparing mobile phone vs. computer. BMC psychiatry, 13(1):49.