Shaping the design of smartphone-based interventions for self-harm

Mahsa Honary, Julio Vega, Beth Bell, Leo Kroll, Roisin Mcnaney, Sarah Clinch, Aaron Sefi

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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 selfharm, 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.
Original languageEnglish
Title of host publicationProceedings of the 2020 CHI Conference on Human Factors in Computing Systems
EditorsJoanna McGrenere, Andy Cockburn
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Number of pages14
ISBN (Electronic)9781450367080
DOIs
Publication statusPublished - 2020
Externally publishedYes
EventInternational Conference on Human Factors in Computing Systems 2020 - Honolulu , United States of America
Duration: 25 Apr 202030 Apr 2020
Conference number: 38th
https://chi2020.acm.org (Website)
https://dl.acm.org/doi/proceedings/10.1145/3313831 (Proceedings)

Conference

ConferenceInternational Conference on Human Factors in Computing Systems 2020
Abbreviated titleCHI 2020
CountryUnited States of America
CityHonolulu
Period25/04/2030/04/20
Internet address

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