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Post-traumatic stress disorder: opportunities & challenges for computing technology

Published: 11 November 2010 Publication History

Abstract

Post-Traumatic Stress Disorder (PTSD) is a condition in which a person responds to a traumatic event, such as war, a car accident, or physical abuse, with prolonged feelings of fear, helplessness, or horror. This disorder can have a significant detrimental impact on the lives of those affected by PTSD as well as their friends and family. In this paper, we outline the potential for computing technologies to assist with all aspects of the experience of Post-Traumatic Stress Disorder, including recognizing the pre-trauma disposition for PTSD, identifying the symptoms, helping with diagnosis, and aiding in the treatment and assessment of treatment. The content of this paper is based upon an extensive review of the literature and our consultations with domain experts and therapists who treat PTSD. We outline a number of opportunities for computing technologies to play a role in improving the lives of those with PTSD as well as challenges for working in this space. We also describe specific design considerations for computing technology designers.

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Cited By

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  • (2020)Understanding the Care Ecologies of Veterans with PTSDProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376170(1-15)Online publication date: 21-Apr-2020
  • (2019)Provider Perspectives on Integrating Sensor-Captured Patient-Generated Data in Mental Health CareProceedings of the ACM on Human-Computer Interaction10.1145/33592173:CSCW(1-25)Online publication date: 7-Nov-2019
  • (2019)'Routine Infrastructuring' as 'Building Everyday Resilience with Technology'Proceedings of the ACM on Human-Computer Interaction10.1145/33591753:CSCW(1-24)Online publication date: 7-Nov-2019
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        cover image ACM Other conferences
        IHI '10: Proceedings of the 1st ACM International Health Informatics Symposium
        November 2010
        886 pages
        ISBN:9781450300308
        DOI:10.1145/1882992
        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 ACM 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]

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        Published: 11 November 2010

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        Author Tags

        1. healthcare
        2. mental disorders
        3. mental health
        4. mobile technologies
        5. post-traumatic stress disorder
        6. ptsd
        7. tele-health
        8. trauma
        9. veterans

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        IHI '10: ACM International Health Informatics Symposium
        November 11 - 12, 2010
        Virginia, Arlington, USA

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        View all
        • (2020)Understanding the Care Ecologies of Veterans with PTSDProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376170(1-15)Online publication date: 21-Apr-2020
        • (2019)Provider Perspectives on Integrating Sensor-Captured Patient-Generated Data in Mental Health CareProceedings of the ACM on Human-Computer Interaction10.1145/33592173:CSCW(1-25)Online publication date: 7-Nov-2019
        • (2019)'Routine Infrastructuring' as 'Building Everyday Resilience with Technology'Proceedings of the ACM on Human-Computer Interaction10.1145/33591753:CSCW(1-24)Online publication date: 7-Nov-2019
        • (2017)Military Masculinity and the Travails of TransitioningProceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing10.1145/2998181.2998221(387-403)Online publication date: 25-Feb-2017
        • (2017)Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social ComputingundefinedOnline publication date: 25-Feb-2017
        • (2015)Challenges in Concussion Detection Using Vocal Acoustic BiomarkersIEEE Access10.1109/ACCESS.2015.24573923(1143-1160)Online publication date: 2015

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