Abstract
This article presents a model for the therapeutic process and the interaction between the patient and mental health professional, assisting in the treatment of anxiety disorder. The proposed model uses the Dysfunctional Thinking Record, a tool widely used by cognitive behavioral therapy to detect and record the patient’s distorted thoughts (trigger for anxiety episodes). The patients can record these thoughts using a mobile application to collect their location and related media data. Also, therapists can use a management panel to visualize and interact with the records sent by their patients. In addition, the therapist can personalize the patient’s experience with tips and techniques for controlling anxiety. A prototype was developed and evaluated with specialists in the areas of psychology and psychiatry through scenarios. The results showed that the application can promote advances in the therapeutic process through ubiquitous interaction. All specialists recommended the application and suggested new features for use by patients.
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Torpy, J.M., Burke, A.E., Golub, R.M.: Generalized anxiety disorder. JAMA 305(5), 522 (2011)
American Psychological Association: Beyond worry: how psychologists help with anxiety disorders. http://www.apa.org/helpcenter/anxiety.aspx
Bandelow, B., Michaelis, S., Wedekind, D.: Treatment of anxiety disorders. Dialogues Clin. Neurosci. 19, 93–107 (2017)
Beck, A.T.: Cognitive Therapy and the Emotional Disorders. International Universities Press, Madison (1976)
Beck, J.S.: Cognitive Therapy: Basics and Beyond. Guilford Press, New York (2011)
Weiser, M.: The computer for the 21st century. SIGMOBILE Mob. Comput. Commun. Rev. 3(3), 3–11 (1999)
Dias, L.P.S., Barbosa, J.L.V., Feijó, L.P., Vianna, H.D.: Development and testing of iAware model for ubiquitous care of patients with symptoms of stress, anxiety and depression. Comput. Methods Progr. Biomed. (2020). https://doi.org/10.1016/j.cmpb.2019.105113
Petry, M.M., Barbosa, J.L.V., José, R., Sandro, D., Lucas, P.S., Büttenbender, P.: Toward a ubiquitous model to assist the treatment of people with depression. Univ. Access Inf. Soc. (2019). https://doi.org/10.1007/s10209-019-00697-4
Bavaresco, R., Barbosa, J., Vianna, H., Büttenbender, P., Dias, L.: Design and evaluation of a context-aware model based on psychophysiology. Comput. Methods Progr. Biomed. (2020). https://doi.org/10.1016/j.cmpb.2019.105299
Dey, A.K.: Understanding and using context. Pers. Ubiquitous Comput. 5(1), 4–7 (2001)
Schilit, B.N., Theimer, M.M.: Disseminating active map information to mobile hosts. IEEE Netw. 8(5), 22–32 (1994)
Vianna, H.D., Barbosa, J.L.V.: A model for ubiquitous care of noncommunicable diseases. IEEE J. Biomed. Health Inform. 18(5), 1597–1606 (2014)
Vianna, H.D., Barbosa, J.L.V.: A scalable model for building context-aware applications for noncommunicable diseases prevention. Inf. Process. Lett. 148, 1–6 (2019)
Vianna, H.D., Barbosa, J.L.V., Fábio, P.: In the pursuit of hygge software. IEEE Softw. 34(6), 48–52 (2017)
Rosa, J.H., Barbosa, J.L.V., Kich, M., Brito, L.: A multi-temporal context-aware system for competences management. Int. J. Artif. Intell. Educ. 25(4), 455–492 (2015)
Larentis, A.V., Barbosa, D.N.F., da Silva, C.R., Barbosa, J.L.V.: Applied computing to education on noncommunicable chronic diseases: a systematic mapping study. Telemedicine and e-Health, PMID: 30807261
Wagner, A., Barbosa, J.L.V., Barbosa, D.N.F.: A model for profile management applied to ubiquitous learning environments. Expert Syst. Appl. 41(4, Part 2), 2023–2034 (2014)
Barbosa, J.L.V., Barbosa, D.N.F., de Oliveira, J.M., Andrade Jr., R.S.: A decentralized infrastructure for ubiquitous learning environments. J. Univ. Comput. Sci. 20(12), 1649–1669 (2014)
Barbosa, J.L.V., Hahn, R.M., Barbosa, D.N.F., Costa, Z.S.A.I.D.: A ubiquitous learning model focused on learner interaction. Int. J. Learn. Technol. 6(1), 62–83 (2011)
Barbosa, J.L.V., Martins, C., Franco, L.K., Barbosa, D.N.F.: Trailtrade: a model for trail-aware commerce support. Comput. Ind. 80, 43–53 (2016)
Barbosa, J., Tavares, J., Cardoso, I., Alves, B., Martini, B.: Trailcare: an indoor and outdoor context-aware system to assist wheelchair users. Int. J. Hum. Comput. Stud. 116, 1–14 (2018)
Tavares, J., Barbosa, J., Cardoso, I., Costa, C., Yamin, A., Real, R.: Hefestos: an intelligent system applied to ubiquitous accessibility. Univ. Access Inf. Soc. 15(4), 589–607 (2016)
Helfer, G.A., Barbosa, J.L.V., Santos, R.D., Costa, A.B.: A computational model for soil fertility prediction in ubiquitous agriculture. Comput. Electron. Agric. (2020). https://doi.org/10.1016/j.compag.2020.105602
De Souza, R.S., Afonso, C., Anderson, Y., Adenauer, G., Ingrid, G., Lopes, J., Geyer, C., João, S., da Rosa, L., Barbosa, J.: Continuous monitoring seed testing equipments using internet of things. Comput. Electron. Agric. 158, 122–132 (2019)
Agoulmine, N., Jamal Deen, M., Lee, J.-S., Meyyappan, M.: U-health smart home. IEEE Nanotechnol. Mag. 5(3), 6–11 (2011)
Buttussi, F., Chittaro, L.: Smarter phones for healthier lifestyles: an adaptive fitness game. IEEE Pervasive Comput. 9(4), 51–57 (2010)
Lim, J.-E., Choi, O.H., Na, H.-S., Baik, D.-K.: A context-aware fitness guide system for exercise optimization in u-health. IEEE Trans. Inf. Technol. Biomed. 13(3), 370–379 (2009)
Bardram, J.E., Christensen, H.B.: Pervasive computing support for hospitals: an overview of the activity-based computing project. IEEE Pervasive Comput. 6(1), 44–51 (2007)
Orwat, C., Rashid, A., Holtmann, C., Wolk, M., Scheermesser, M., Kosow, H., Graefe, A.: Adopting pervasive computing for routine use in healthcare. IEEE Pervasive Comput. 9(2), 64–71 (2010)
Thiyagaraja, S.R., Dantu, R., Shrestha, P.L., Thompson, M.A., Smith, C.: Optimized and secured transmission and retrieval of vital signs from remote devices. In: 2017 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), pp. 25–30 (2017)
Pampouchidou, A., Simos, P.G., Marias, K., Meriaudeau, F., Yang, F., Pediaditis, M., Tsiknakis, M.: Automatic assessment of depression based on visual cues: a systematic review. IEEE Trans. Affect. Comput. (2018)
Wagner, S.: Towards future reliable pervasive healthcare with adherence strategy engineering. In: Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth ’16, pp. 289–294, ICST, Brussels, Belgium, Belgium: ICST. Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (2016)
Knapp, P., Beck, A.T.: Cognitive therapy: foundations, conceptual models, applications and research. Braz J Psychiatry 30(2), 54–64 (2008). https://doi.org/10.1590/s1516-44462008000600002
Knapp, P.: Terapia Cognitivo Comportamental na Prática Psiquiátrica. Artmed, Porto Alegre, (2004)
Morris, M.E., Kathawala, Q., Leen, T.K., Gorenstein, E.E., Guilak, F., Labhard, M., Deleeuw, W.: Mobile therapy: case study evaluations of a cell phone application for emotional self-awareness. J. Med. Internet Res. 12(2), e10 (2010)
Sykianaki, E., Leonidis, A., Antona, M., Stephanidis, C.: Calmi: stress management in intelligent homes. In: Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, UbiComp/ISWC ’19 Adjunct, pp. 1202–1205, New York, NY, USA, Association for Computing Machinery (2019)
Fardoun, H.M., Alghazzawi, D.M., Delgado, S.A.: mtherapy: a mobile based therapy. In: Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth ’14, pp. 447–450, ICST, Brussels, Belgium, Belgium: ICST. Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (2014)
Cruz, L., Rubin, J., Abreu, R., Ahern, S., Eldardiry, H., Bobrow, D.G.: A wearable and mobile intervention delivery system for individuals with panic disorder. In: Proceedings of the 14th International Conference on Mobile and Ubiquitous Multimedia, MUM ’15, pp. 175–182, New York, NY, USA, (2015). ACM
Saeb, S., Lattie, E.G., Kording, K.P., Mohr, D.C.: Mobile phone detection of semantic location and its relationship to depression and anxiety. JMIR Mhealth Uhealth 5(8), e112 (2017)
Chow, P.I., Fua, K., Huang, Y., Bonelli, W., Xiong, H., Barnes, L.E., Teachman, B.A.: Using mobile sensing to test clinical models of depression, social anxiety, state affect, and social isolation among college students. JMed Internet Res. 19(3), e62 (2017)
Satyanarayanan, M.: Pervasive computing: vision and challenges. IEEE Pers. Commun. 8(4), 10–17 (2001)
Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319–340 (1989)
Marangunić, N., Granić, A.: Technology acceptance model: a literature review from 1986 to 2013. Univ. Access Inf. Soc. 14(1), 81–95 (2015)
Holzinger, A., Searle, G., Wernbacher, M.: The effect of previous exposure to technology on acceptance and its importance in usability and accessibility engineering. Univ. Access Inf. Soc. 10(3), 245–260 (2011)
Holzinger, A., Carrington, A., Müller, H.: Measuring the quality of explanations: the system causability scale (SCS). Künstl Intell. 34, 193–198 (2020). https://doi.org/10.1007/s13218-020-00636-z
Rensis, L.: A Technique for the Measurement of Attitudes. Number No 136–165 in A Technique for the Measurement of Attitudes. publisher not identified, (1932)
Ziefle, M., Rocker, C., Holzinger, A.: Medical Technology in Smart Homes: Exploring the User’s Perspective on Privacy, Intimacy and Trust. In: 35th Annual IEEE Computer Software and Applications Conference Workshops COMPSAC (2011). Munich: IEEE, pp. 410–415, https://doi.org/10.1109/COMPSACW.2011.75
Acknowledgements
The authors wish to acknowledge that this work was supported by FAPERGS (Foundation for the Supporting of Research in the State of Rio Grande do Sul), CNPq (National Council for Scientific and Technological Development) and Coordenação de Aperfeiçoamento de Pes-soal de Nível Superior—Brasil (CAPES)—Finance Code 001. We are also grateful to University of Vale do Rio dos Sinos (UNISINOS) and the Applied Computing Graduate Program (PPGCA) for embracing this research.
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This research did not require ethical approval in accordance with the regulations of the University of Vale do Rio dos Sinos (UNISINOS). The subjects who participated in the evaluation were not patients in treatment for anxiety disorder, but voluntary psychologists. They assessed the usability aspects of LifeReview and not the effectiveness of its application in the treatment. In addition, the participants agreed to participate in the evaluation of LifeReview.
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dos Santos Paula, L., Barbosa, J.L.V. & Dias, L.P.S. A model for assisting in the treatment of anxiety disorder. Univ Access Inf Soc 21, 533–543 (2022). https://doi.org/10.1007/s10209-020-00786-9
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DOI: https://doi.org/10.1007/s10209-020-00786-9