Hashini Senaratne
Kirsten Ellis
Sharon Oviatt
ABSTRACT
This paper presents a step-by-step process that was developed primarily to extract design pre-requisites for personalized mobile technologies assisting anxiety self-regulation. This process, which is recognized as a preliminary framework, was developed, refined, and tested based on a multidisciplinary literature review and an exploratory study conducted with mental health professionals who treat anxiety disorders. The step-by-step nature of this framework draws from multiple disciplinary and stakeholder perspectives, integrates knowledge about efficacious psychological interventions, considers individual differences and specific challenges faced by patients, and realizes contextual needs. It also includes incremental and iterative refinements based on multidisciplinary sources to foster more evidence-based interface designs. Once reached its maturity, this framework can potentially be applied for designing efficacious technologies for a range of mental health conditions. The expected future contributions and limitations of the framework are also discussed.
- J. Alonso, Z. Liu, E. Sadikova, N. Sampson, S. Chatterji, L. Andrade, R. Bruffaerts, G. Cardoso, A. Cia, S. Florescu, G. de Girolamo, J. Haro, Y. He, P. de Jonge, E. Karam, N. Kawakami, S. Lee, D. Levinson, M. Piazza, R. Kessler, and G. Thornicroft. 2018. Treatment Gap for Anxiety Disorders is Global. Depression and Anxiety 35, 3 (2018), 195--208.Google Scholar
- A.N. Antle, L. Chesick, and E. Mclaren. 2018. Opening Up the Design Space of Neurofeedback Brain--Computer Interfaces for Children. ACM Trans. Comput.-Hum. Interact. 24, 6, Article 38 (Jan. 2018), 33 pages. Google ScholarDigital Library
- M. Barker and J. Van der Linden. 2017. Sprite Catcher: A Handheld Self-Reflection and Mindfulness Tool for Mental Healthcare. In Proceedings of the Eleventh International Conference on Tangible, Embedded, and Embodied Interaction (TEI '17). ACM, New York, NY, USA, 419--425. Google ScholarDigital Library
- C.V. Chen, S.A. George, and I. Liberzon. 2017. 4.13 Stress and Anxiety Disorders. Academic Press, Oxford, 251--274.Google Scholar
- J. Costa, A.T. Adams, M.F. Jung, F. Guimbretière, and T. Choudhury. 2016. EmotionCheck: Leveraging Bodily Signals and False Feedback to Regulate Our Emotions. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '16). ACM, New York, NY, USA, 758--769. Google ScholarDigital Library
- M. Matthews, S. Voida, S. Abdullah, G. Doherty, T. Choudhury, S. Im, and G. Gay. 2015. In Situ Design for Mental Illness: Considering the Pathology of Bipolar Disorder in mHealth Design. In Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI '15). ACM, New York, NY, USA, 86--97. Google ScholarDigital Library
- V. Mittal and E. Walker. 2011. Diagnostic and Statistical Manual of Mental Disorders. Psychiatry Research 189, 1 (2011).Google Scholar
- A.S. Morrison, F.A. Brozovich, I.A. Lee, H. Jazaieri, P.R. Goldin, R.G. Heimberg, and J.J. Gross. 2016. Anxiety Trajectories in Response to a Speech Task in Social Anxiety Disorder. Journal of Anxiety Disorders 38 (2016), 21--30.Google ScholarCross Ref
- E.L. Murnane, T.G. Walker, B. Tench, S. Voida, and J. Snyder. 2018. Personal Informatics in Interpersonal Contexts: Towards the Design of Technology That Supports the Social Ecologies of Long-Term Mental Health Management. Proc. ACM Hum.-Comput. Interact. 2, CSCW, Article 127 (Nov. 2018), 27 pages. Google ScholarDigital Library
- L.S. Nowell, J.M. Norris, D.E. White, and N.J. Moules. 2017. Thematic Analysis: Striving to Meet the Trustworthiness Criteria. International Journal of Qualitative Methods 16, 1 (2017), 13.Google ScholarCross Ref
- M. Price, E.K. Yuen, E.M. Goetter, J.D. Herbert, E.M. Forman, R. Acierno, and K.J. Ruggiero. 2014. mHealth: A Mechanism to Deliver More Accessible, More Effective Mental Health Care. Clinical Psychology & Psychotherapy 21, 5 (2014), 427--436.Google Scholar
- R.L. Schneider, J.J. Arch, and K.B. Wolitzky-Taylor. 2015. The State of Personalized Treatment for Anxiety Disorders: A Systematic Review of Treatment Moderators. Clinical Psychology Review 38, C (2015), 39--54.Google Scholar
- J. Schroeder, C. Wilkes, K. Rowan, A. Toledo, A. Paradiso, M. Czerwinski, G. Mark, and M.M. Linehan. 2018. Pocket Skills: A Conversational Mobile Web App To Support Dialectical Behavioral Therapy. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI '18). ACM, NY, USA, Article 398, 15 pages. Google ScholarDigital Library
- S.H. Seeley, E. Garcia, and D.S. Mennin. 2015. Recent Advances in Laboratory Assessment of Emotion Regulation. Current opinion in psychology 3 (2015), 58--63.Google Scholar
- W. Simm, M.A. Ferrario, A. Gradinar, and J. Whittle. 2014. Prototyping 'Clasp': Implications for Designing Digital Technology for and with Adults with Autism. In Proceedings of the 2014 Conference on Designing Interactive Systems (DIS '14). ACM, New York, NY, USA, 345--354. Google ScholarDigital Library
- C. Williams and A. Garland. 2002. Identifying and Challenging Unhelpful Thinking. Advances in Psychiatric Treatment 8, 5 (2002), 377--386.Google Scholar
Index Terms
- Designing Efficacious Mobile Technologies for Anxiety Self-Regulation
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