skip to main content
10.1145/3240925.3240933acmotherconferencesArticle/Chapter ViewAbstractPublication PagespervasivehealthConference Proceedingsconference-collections
research-article

Conversational Agents to Provide Couple Therapy for Patients with PTSD

Published:21 May 2018Publication History

ABSTRACT

Conversational agents (CAs) like Amazon Alexa can potentially enable a new way to deliver therapy to patients with serious mental illnesses. Specifically, they can be used to provide support for real-time family therapy and interventions in a scalable way. However, this requires significant changes in traditional therapeutic content since interaction with CAs is fundamentally different than reading or using eHealth applications. In this work, we aim to identify challenges in adapting a clinically validated therapy for Post-Traumatic Stress Disorder (PTSD) to conversational agents. Specifically, we describe our initial design and development process to use Amazon Alexa to deliver Cognitive-Behavioral Conjoint Therapy (CBCT) for PTSD. Our initial design process resulted in an interaction model that emphasizes short dialogues and interactivity. This design process and interaction model can potentially be useful for future studies focusing on using conversational agents for therapeutic content delivery.

References

  1. Anders, G. (2017, August 14). Amazon's Alexa is a bet that in the future we will be talking to our computers. Retrieved from https://www.technologyreview.com/s/608571/alex a-understand-me/Google ScholarGoogle Scholar
  2. Anderson, M. (2015). Technology device ownership: 2015. Pew Research Center. Retrieved from http://www.pewinternet.org/2015/10/29/technology-device-ownership-2015Google ScholarGoogle Scholar
  3. Amazon Developer. (n.d.). Build Skills with the Alexa Skills Kit. Retrieved from https://developer.amazon.com/docs/ask-overviews/build-skills-with-the-alexa-skills-kit.htmlGoogle ScholarGoogle Scholar
  4. Amazon Developer. (n.d.). How Alexa Responds. Retrieved from https://developer.amazon.com/designing-for-voice/what-alexa-says/#prompt-with-guidance-for-the-userGoogle ScholarGoogle Scholar
  5. Brunette, M. F., Rotondi, A. J., Ben-Zeev, D., Gottlieb, J. D., Mueser, K. T., Robinson, D. G., ... & Meyer-Kalos, P. (2016). Coordinated technology-delivered treatment to prevent rehospitalization in schizophrenia: a novel model of care.Google ScholarGoogle Scholar
  6. Choe, E. K., Consolvo, S., Jung, J., Harrison, B., Patel, S. N., & Kientz, J. A. (2012, September). Investigating receptiveness to sensing and inference in the home using sensor proxies. In Proceedings of the 2012 ACM Conference on Ubiquitous Computing (pp. 61--70). ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Dabbs, A. D. V., Myers, B. A., Mc Curry, K. R., Dunbar-Jacob, J., Hawkins, R. P., Begey, A., & Dew, M. A. (2009). User-centered design and interactive health technologies for patients. Computers, informatics, nursing: CIN, 27(3), 175.Google ScholarGoogle Scholar
  8. Frank E. Ritter, Gordon D. Baxter, and Elizabeth F. Churchill. 2014. Foundations for Designing User-Centered Systems What System Designers Need to Know about People, Springer. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Fitzpatrick, K. K., Darcy, A., & 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).Google ScholarGoogle Scholar
  10. Kazdin, A. E., & Rabbitt, S. M. (2013). Novel models for delivering mental health services and reducing the burdens of mental illness. Clinical Psychological Science, 1(2), 170--191.Google ScholarGoogle ScholarCross RefCross Ref
  11. Kessler, R. C., Berglund, P., Demler, O., Jin, R., Merikangas, K. R., & Walters, E. E. (2005). Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Archives of general psychiatry, 62(6), 593--602.Google ScholarGoogle Scholar
  12. Kuhn, E., Kanuri, N., Hoffman, J. E., Garvert, D. W., Ruzek, J. I., & Taylor, C. B. (2017). A randomized controlled trial of a smartphone app for posttraumatic stress disorder symptoms. Journal of consulting and clinical psychology, 85(3), 267.Google ScholarGoogle ScholarCross RefCross Ref
  13. Ma, M., Skubic, M., Ai, K., & Hubbard, J. (2017, July). Angel-Echo: A Personalized Health Care Application. In Connected Health: Applications, Systems and Engineering Technologies (CHASE), 2017 IEEE/ACM International Conference on (pp. 258--259). IEEE. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Macdonald, A., Pukay-Martin, N. D., Wagner, A. C., Fredman, S. J., & Monson, C. M. (2016). Cognitive-behavioral conjoint therapy for PTSD improves various PTSD symptoms and trauma-related cognitions: Results from a randomized controlled trial. Journal of Family Psychology, 30(1), 157.Google ScholarGoogle ScholarCross RefCross Ref
  15. McCurdie, T., Taneva, S., Casselman, M., Yeung, M., McDaniel, C., Ho, W., & Cafazzo, J. (2012). mHealth consumer apps: the case for user-centered design. Biomedical instrumentation & technology, 46(s2), 49--56.Google ScholarGoogle Scholar
  16. Mohr, D. C., Tomasino, K. N., Lattie, E. G., Palac, H. L., Kwasny, M. J., Weingardt, K., ... & Caccamo, L. (2017). IntelliCare: An eclectic, skills-based app suite for the treatment of depression and anxiety. Journal of medical Internet research, 19(1).Google ScholarGoogle ScholarCross RefCross Ref
  17. Monson, Candice M., et al. "Effect of cognitive-behavioral couple therapy for PTSD: A randomized controlled trial." Jama 308.7 (2012): 700--709.Google ScholarGoogle Scholar
  18. Price, M., Gros, D. F., Strachan, M., Ruggiero, K. J., & Acierno, R. (2013). The role of social support in exposure therapy for Operation Iraqi Freedom/Operation Enduring Freedom veterans: A preliminary investigation. Psychological Trauma: Theory, Research, Practice, and Policy, 5(1), 93.Google ScholarGoogle ScholarCross RefCross Ref
  19. Schlosser, D., Campellone, T., Kim, D., Truong, B., Vergani, S., Ward, C., & Vinogradov, S. (2016). Feasibility of PRIME: a cognitive neuroscience-informed mobile app intervention to enhance motivated behavior and improve quality of life in recent onset schizophrenia. JMIR research protocols, 5(2).Google ScholarGoogle Scholar
  20. Schwartz, S. W. (2009). Adolescent mental health in the United States: Facts for policymakers. Retrieved March, 27, 2015.Google ScholarGoogle Scholar
  21. Shnaider, P., Pukay-Martin, N. D., Fredman, S. J., Macdonald, A., & Monson, C. M. (2014). Effects of cognitive-behavioral conjoint therapy for PTSD on partners' psychological functioning. Journal of Traumatic Stress, 27(2), 129--136.Google ScholarGoogle ScholarCross RefCross Ref
  22. Tarrier, N., Sommerfield, C., & Pilgrim, H. (1999). Relatives' expressed emotion (EE) and PTSD treatment outcome. Psychological Medicine, 29(4), 801--811.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Conversational Agents to Provide Couple Therapy for Patients with PTSD

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      PervasiveHealth '18: Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare
      May 2018
      413 pages
      ISBN:9781450364508
      DOI:10.1145/3240925

      Copyright © 2018 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 21 May 2018

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article
      • Research
      • Refereed limited

      Acceptance Rates

      Overall Acceptance Rate55of116submissions,47%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader