Integration of embedded technologies controlled by Artificial Intelligence: an application to support the treatment of phobias
Abstract
In recent years, the health area has received technological contributions that provide support for diagnostic practices, monitoring and treatment of different disorders and diseases, mainly combining various techniques of Artificial Intelligence, Virtual Reality and Mobile Computing. There are many challenges to integrate these technologies and provide solutions that consider the automation of processes, the simplification of interaction between professionals and patients, the low price of equipment, the individualization of use, mobility and the use of Artificial Intelligence strategies. Aiming to overcome limitations of two previous works, which applied technological combinations in the desensitization of stress and phobias, this work aims to develop a technological combination that integrates an autonomous and low-cost virtual environment embedded in an ESP32 board, with multi-agent control, with support for natural language communication, to be used in the Treatment by Exposure in Virtual Environments VRET in the area of Clinical Psychology, more specifically related to Anxiety Disorders. Low-cost virtual reality glasses were used, with visualization on a smartphone. The prototype, called PhobIA 3DS, is controlled by multi-agents that have modules for capturing physiological signals (heart rate); uses natural language to obtain the level of anxiety perceived by the patient; considers these two pieces of information in a Fuzzy module, which, in turn, generates a response on the calculated level of anxiety; and controls and changes the display of specific scenarios for each level of anxiety. Finally, the system was evaluated by a group of experienced professionals, to verify aspects of the interface, relevance and usability. The data obtained by the evaluation showed positive results and good prospects for using the system in real activities.References
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Costa Stutzel, M., Filippo, M. P., Sztajnberg, A., da Costa, R. M. E., Brites, A. d. S., da Motta, L. B., and Caldas, C. P. (2019). Multi-part quality evaluation of a customized mobile application for monitoring elderly patients with functional loss and helping caregivers. BMC medical informatics and decision making, 19(1):1–18.
Ilin, I., Iliashenko, V. M., Dubgorn, A., and Esser, M. (2022). Critical factors and challenges of healthcare digital transformation. In Digital Transformation and the World Economy: Critical Factors and Sector-Focused Mathematical Models, pages 205–220. Springer.
Kaur, P., Kumar, R., and Kumar, M. (2019). A healthcare monitoring system using random forest and internet of things (iot). Multimedia Tools and Applications, 78:19905–19916.
Kosonogov, V., Efimov, K., Rakhmankulova, Z., and Zyabreva, I. (2023). Review of psychophysiological and psychotherapeutic studies of stress using virtual reality technologies. Neuroscience and Behavioral Physiology, pages 1–11.
Molitor, D. P. (2012). Physician behavior and technology diffusion in health care. PhD thesis, Massachusetts Institute of Technology.
Nandakumar, A., Beswick, J., Thomas, C. P., Wallack, S. S., and Kress, D. (2009). Pathways of health technology diffusion: the united states and low-income countries. Health Affairs, 28(4):986–995.
Novaes, H. M. D. and Soárez, P. C. D. (2020). A avaliação das tecnologias em saúde: origem, desenvolvimento e desafios atuais. panorama internacional e brasil. Cadernos de Saúde Pública, 36:e00006820.
Nugraha, I. D. (2021). Efficacy of virtual reality exposure therapy for post-traumatic stress disorder: A systematic review.
Pereira, J. S., Faêda, L. M., and Coelho, A. M. (2020). Evolution of vret to assist in the treatment of phobias: a systematic review. pages 386–390.
Riva, G. (2005). Virtual reality in psychotherapy: Review. CyberPsychology & Behavior, 8(3):220–230.
Thakare, V., Khire, G., and Kumbhar, M. (2022). Artificial intelligence (ai) and internet of things (iot) in healthcare: Opportunities and challenges. ECS Transactions, 107(1):7941.
Tian, S., Yang, W., Le Grange, J. M., Wang, P., Huang, W., and Ye, Z. (2019). Smart healthcare: making medical care more intelligent. Global Health Journal, 3(3):62–65.
Zainab, e. H., Bawany, N. Z., Rehman, W., Imran, J., et al. (2023). Design and development of virtual reality exposure therapy systems: requirements, challenges and solutions. Multimedia Tools and Applications, pages 1–24.
Published
2024-06-25
How to Cite
JAMBO, Claudio H. M.; COSTA, Rosa Maria E. Moreira da.
Integration of embedded technologies controlled by Artificial Intelligence: an application to support the treatment of phobias. In: ARTUR ZIVIANI AWARD - THESES AND DISSERTATIONS CONTEST (MASTER'S) - BRAZILIAN SYMPOSIUM ON COMPUTING APPLIED TO HEALTHCARE (SBCAS), 24. , 2024, Goiânia/GO.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
.
p. 49-54.
ISSN 2763-8987.
DOI: https://doi.org/10.5753/sbcas_estendido.2024.2248.
