Stevens, L.M., Reid, E., Kanja, W., Rockowitz, S., Davies, K., Dosanjh, S., Findel, B. and Flowe, H.D., 2022. The Kenyan Survivors of Sexual Violence Network: Preserving Memory Evidence with a Bespoke Mobile Application to Increase Access to Vital Services and Justice. Societies, 12 (1), 12.
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DOI: 10.3390/soc12010012
Abstract
Police interviews gather detailed information from witnesses about the perpetrator that is crucial for solving crimes. Research has established that interviewing witnesses immediately after the crime maintains memory accuracy over time. However, in some contexts, such as in conflict settings and low-income countries, witness interviews occur after long delays, which decreases survivors’ access to vital services and justice. We investigated whether an immediate interview via a mobile phone application (SV_CaseStudy Mobile Application, hereafter MobApp) developed by the Kenyan Survivors of Sexual Violence Network preserves people’s memory accuracy over time. Participants (N = 90) viewed a mock burglary and were then interviewed either immediately using MobApp or MobApp+ (which included additional questions about the offender’s behaviour) and again one week later (n = 60), or solely after a one-week delay (n = 30). We found that memory accuracy one week later was higher for participants immediately interviewed with MobApp or MobApp+ compared to those interviewed solely after a one-week delay. Additionally, memory accuracy was maintained for those interviewed with the mobile application across the one-week period. These findings indicate that the mobile phone application is promising for preserving memory accuracy in contexts where crimes are reported to the police after a delay.
Item Type: | Article |
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ISSN: | 2075-4698 |
Additional Information: | This article belongs to the Special Issue Collaborative Community Approaches to Addressing Serious Violence |
Uncontrolled Keywords: | gender-based violence; sexual violence; Kenya; memory; behavioural crime linkage; access to justice |
Group: | Faculty of Science & Technology |
ID Code: | 36638 |
Deposited By: | Symplectic RT2 |
Deposited On: | 21 Feb 2022 13:02 |
Last Modified: | 14 Mar 2022 14:32 |
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