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 language | English |
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Title of host publication | Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems |
Editors | Joanna McGrenere, Andy Cockburn |
Place of Publication | New York NY USA |
Publisher | Association for Computing Machinery (ACM) |
Number of pages | 14 |
ISBN (Electronic) | 9781450367080 |
DOIs | |
Publication status | Published - 2020 |
Externally published | Yes |
Event | International Conference on Human Factors in Computing Systems 2020 - Honolulu , United States of America Duration: 25 Apr 2020 → 30 Apr 2020 Conference number: 38th https://chi2020.acm.org (Website) https://dl.acm.org/doi/proceedings/10.1145/3313831 (Proceedings) |
Conference
Conference | International Conference on Human Factors in Computing Systems 2020 |
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Abbreviated title | CHI 2020 |
Country/Territory | United States of America |
City | Honolulu |
Period | 25/04/20 → 30/04/20 |
Internet address |
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