Abstract
Suicide is a severe public health issue that impacts the lives of many individuals. Mobile health applications (apps) open new possibilities for safety by daily self-monitoring of suicide-related symptoms, which can help with safety planning. These mobile apps can help health professionals and specialists by providing follow-up and care throughout the treatment of patients with suicidal intents. A rising variety of suicide prevention measures based on the usage of new technologies are being developed now. In this paper, we reviewed literature on suicide prevention and also reviewed apps on the Apple App Store (App Store) and the Google Play Store (Play Store) focusing on the persuasive strategies used and the importance given to the privacy of the user. Our findings show that while most apps operationalize persuasive strategies, there is a lack of research on how users’ privacy is managed. We also found a lack in adopting an evidence-based approach in preventing suicide. Based on our findings, we recommend designers adopt more evidence-based approaches in helping individuals who are struggling with suicide and use technology to enforce privacy and data protection. Also, developers of suicide mobile intervention should design more interactive apps rather than passive apps and apply a user-center design approach. From our analysis, we offer some design recommendations and propose a communication protocol to enforce privacy when sharing sensitive data for suicide apps.
Keywords
- Persuasive strategies
- User-centric design approach
- Suicide prevention
- Evidence-based approach
- Privacy
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Acknowledgment
This research was undertaken, in part, thanks to funding from the Canada Research Chairs Program. We acknowledge the support of the Natural Sciences and Engineering Research Council of Canada (NSERC) through the Discovery Grant.
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Reen, J., Friday, A., Orji, R. (2022). Saving Life and Keeping Privacy: A Study on Mobile Apps for Suicide Prevention and Privacy Policies. In: Baghaei, N., Vassileva, J., Ali, R., Oyibo, K. (eds) Persuasive Technology. PERSUASIVE 2022. Lecture Notes in Computer Science, vol 13213. Springer, Cham. https://doi.org/10.1007/978-3-030-98438-0_15
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