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Shaping the Design of Smartphone-Based Interventions for Self-Harm

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Shaping the Design of Smartphone-Based Interventions for Self-Harm. / Honary, Mahsa; Bell, Beth; Clinch, Sarah et al.
CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM), 2020. 3376370 (Conference on Human Factors in Computing Systems - Proceedings).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Honary, M, Bell, B, Clinch, S, Vega, J, Kroll, L, Sefi, A & McNaney, R 2020, Shaping the Design of Smartphone-Based Interventions for Self-Harm. in CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems., 3376370, Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery (ACM), 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI 2020, Honolulu, United States, 25/04/20. https://doi.org/10.1145/3313831.3376370

APA

Honary, M., Bell, B., Clinch, S., Vega, J., Kroll, L., Sefi, A., & McNaney, R. (2020). Shaping the Design of Smartphone-Based Interventions for Self-Harm. In CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems Article 3376370 (Conference on Human Factors in Computing Systems - Proceedings). Association for Computing Machinery (ACM). https://doi.org/10.1145/3313831.3376370

Vancouver

Honary M, Bell B, Clinch S, Vega J, Kroll L, Sefi A et al. Shaping the Design of Smartphone-Based Interventions for Self-Harm. In CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM). 2020. 3376370. (Conference on Human Factors in Computing Systems - Proceedings). doi: 10.1145/3313831.3376370

Author

Honary, Mahsa ; Bell, Beth ; Clinch, Sarah et al. / Shaping the Design of Smartphone-Based Interventions for Self-Harm. CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM), 2020. (Conference on Human Factors in Computing Systems - Proceedings).

Bibtex

@inproceedings{294b72d75c3c4713be16eb131442402d,
title = "Shaping the Design of Smartphone-Based Interventions for Self-Harm",
abstract = "Self-harm is a prevalent issue amongst young people, yet it is thought around 40% will never seek professional help due to stigma surrounding it. It is generally a way of coping with emotional distress and can have a range of triggers which are highly heterogeneous to the individual. In a move towards enhancing the accessibility of personalized interventions for self-harm, we undertook a three-stage study. We first conducted interviews with 4 counsellors in self-harm to understand how they clinically respond to self-harm triggers. We then ran a survey with 37 young people, to explore perceptions of mobile sensing, and current and future uses for smartphone-based interventions. Finally, we ran a workshop with 11 young people to further explore how a context-aware self-management application might be used to support them. We contribute an in-depth understanding of how triggers for self-harm might be identified and subsequently predicted and prevented using mobile-sensing technology.",
keywords = "co-design, intervention, mental health, mobile sensing, non-suicidal self-injury, self-harm, situation-aware app, trust",
author = "Mahsa Honary and Beth Bell and Sarah Clinch and Julio Vega and Leo Kroll and Aaron Sefi and Roisin McNaney",
note = "Funding Information: The authors thank all study participants for participating in this study. In particular, 42nd Street for supporting participant recruitment and hosting the workshops. This research was funded by the EPSRC-NIHR NewMind Network Plus. Publisher Copyright: {\textcopyright} 2020 ACM. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI 2020 ; Conference date: 25-04-2020 Through 30-04-2020",
year = "2020",
month = apr,
day = "21",
doi = "10.1145/3313831.3376370",
language = "English",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery (ACM)",
booktitle = "CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems",
address = "United States",

}

RIS

TY - GEN

T1 - Shaping the Design of Smartphone-Based Interventions for Self-Harm

AU - Honary, Mahsa

AU - Bell, Beth

AU - Clinch, Sarah

AU - Vega, Julio

AU - Kroll, Leo

AU - Sefi, Aaron

AU - McNaney, Roisin

N1 - Funding Information: The authors thank all study participants for participating in this study. In particular, 42nd Street for supporting participant recruitment and hosting the workshops. This research was funded by the EPSRC-NIHR NewMind Network Plus. Publisher Copyright: © 2020 ACM. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2020/4/21

Y1 - 2020/4/21

N2 - Self-harm is a prevalent issue amongst young people, yet it is thought around 40% will never seek professional help due to stigma surrounding it. It is generally a way of coping with emotional distress and can have a range of triggers which are highly heterogeneous to the individual. In a move towards enhancing the accessibility of personalized interventions for self-harm, we undertook a three-stage study. We first conducted interviews with 4 counsellors in self-harm to understand how they clinically respond to self-harm triggers. We then ran a survey with 37 young people, to explore perceptions of mobile sensing, and current and future uses for smartphone-based interventions. Finally, we ran a workshop with 11 young people to further explore how a context-aware self-management application might be used to support them. We contribute an in-depth understanding of how triggers for self-harm might be identified and subsequently predicted and prevented using mobile-sensing technology.

AB - Self-harm is a prevalent issue amongst young people, yet it is thought around 40% will never seek professional help due to stigma surrounding it. It is generally a way of coping with emotional distress and can have a range of triggers which are highly heterogeneous to the individual. In a move towards enhancing the accessibility of personalized interventions for self-harm, we undertook a three-stage study. We first conducted interviews with 4 counsellors in self-harm to understand how they clinically respond to self-harm triggers. We then ran a survey with 37 young people, to explore perceptions of mobile sensing, and current and future uses for smartphone-based interventions. Finally, we ran a workshop with 11 young people to further explore how a context-aware self-management application might be used to support them. We contribute an in-depth understanding of how triggers for self-harm might be identified and subsequently predicted and prevented using mobile-sensing technology.

KW - co-design

KW - intervention

KW - mental health

KW - mobile sensing

KW - non-suicidal self-injury

KW - self-harm

KW - situation-aware app

KW - trust

UR - http://www.scopus.com/inward/record.url?scp=85091311942&partnerID=8YFLogxK

U2 - 10.1145/3313831.3376370

DO - 10.1145/3313831.3376370

M3 - Conference contribution/Paper

AN - SCOPUS:85091311942

T3 - Conference on Human Factors in Computing Systems - Proceedings

BT - CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

PB - Association for Computing Machinery (ACM)

T2 - 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI 2020

Y2 - 25 April 2020 through 30 April 2020

ER -