Skip to main content

Advertisement

Log in

A model for assisting in the treatment of anxiety disorder

  • Long Paper
  • Published:
Universal Access in the Information Society Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. Torpy, J.M., Burke, A.E., Golub, R.M.: Generalized anxiety disorder. JAMA 305(5), 522 (2011)

    Article  Google Scholar 

  2. American Psychological Association: Beyond worry: how psychologists help with anxiety disorders. http://www.apa.org/helpcenter/anxiety.aspx

  3. Bandelow, B., Michaelis, S., Wedekind, D.: Treatment of anxiety disorders. Dialogues Clin. Neurosci. 19, 93–107 (2017)

    Article  Google Scholar 

  4. Beck, A.T.: Cognitive Therapy and the Emotional Disorders. International Universities Press, Madison (1976)

    Google Scholar 

  5. Beck, J.S.: Cognitive Therapy: Basics and Beyond. Guilford Press, New York (2011)

    Google Scholar 

  6. Weiser, M.: The computer for the 21st century. SIGMOBILE Mob. Comput. Commun. Rev. 3(3), 3–11 (1999)

    Article  Google Scholar 

  7. 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

    Article  Google Scholar 

  8. 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

    Article  Google Scholar 

  9. 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

    Article  Google Scholar 

  10. Dey, A.K.: Understanding and using context. Pers. Ubiquitous Comput. 5(1), 4–7 (2001)

    Article  Google Scholar 

  11. Schilit, B.N., Theimer, M.M.: Disseminating active map information to mobile hosts. IEEE Netw. 8(5), 22–32 (1994)

    Article  Google Scholar 

  12. 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)

    Article  Google Scholar 

  13. 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)

    Article  Google Scholar 

  14. Vianna, H.D., Barbosa, J.L.V., Fábio, P.: In the pursuit of hygge software. IEEE Softw. 34(6), 48–52 (2017)

    Article  Google Scholar 

  15. 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)

    Article  Google Scholar 

  16. 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

  17. 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)

    Article  Google Scholar 

  18. 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)

    Google Scholar 

  19. 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)

    Article  Google Scholar 

  20. 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)

    Article  Google Scholar 

  21. 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)

    Article  Google Scholar 

  22. 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)

    Article  Google Scholar 

  23. 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

    Article  Google Scholar 

  24. 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)

    Article  Google Scholar 

  25. Agoulmine, N., Jamal Deen, M., Lee, J.-S., Meyyappan, M.: U-health smart home. IEEE Nanotechnol. Mag. 5(3), 6–11 (2011)

    Article  Google Scholar 

  26. Buttussi, F., Chittaro, L.: Smarter phones for healthier lifestyles: an adaptive fitness game. IEEE Pervasive Comput. 9(4), 51–57 (2010)

    Article  Google Scholar 

  27. 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)

    Article  Google Scholar 

  28. 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)

    Article  Google Scholar 

  29. 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)

    Article  Google Scholar 

  30. 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)

  31. 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)

  32. 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)

  33. 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

    Article  Google Scholar 

  34. Knapp, P.: Terapia Cognitivo Comportamental na Prática Psiquiátrica. Artmed, Porto Alegre, (2004)

  35. 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)

    Article  Google Scholar 

  36. 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)

  37. 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)

  38. 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

  39. 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)

    Article  Google Scholar 

  40. 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)

    Article  Google Scholar 

  41. Satyanarayanan, M.: Pervasive computing: vision and challenges. IEEE Pers. Commun. 8(4), 10–17 (2001)

    Article  Google Scholar 

  42. Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319–340 (1989)

    Article  Google Scholar 

  43. Marangunić, N., Granić, A.: Technology acceptance model: a literature review from 1986 to 2013. Univ. Access Inf. Soc. 14(1), 81–95 (2015)

    Article  Google Scholar 

  44. 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)

    Article  Google Scholar 

  45. 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

    Article  Google Scholar 

  46. 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)

  47. 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

Download references

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.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Leonardo dos Santos Paula.

Ethics declarations

Ethical statement

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.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

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

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10209-020-00786-9

Keywords

Navigation