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.
Original language | English |
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Title of host publication | CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems |
Publisher | ACM |
ISBN (Electronic) | 9781450367080 |
DOIs | |
Publication status | Published - 21 Apr 2020 |
Event | 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI 2020 - Honolulu, United States Duration: 25 Apr 2020 → 30 Apr 2020 |
Publication series
Name | Conference on Human Factors in Computing Systems - Proceedings |
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Conference
Conference | 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI 2020 |
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Country/Territory | United States |
City | Honolulu |
Period | 25/04/20 → 30/04/20 |
Bibliographical 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:
© 2020 ACM.
Keywords
- co-design
- intervention
- mental health
- mobile sensing
- non-suicidal self-injury
- self-harm
- situation-aware app
- trust