Mobile Application with Voicebot for Detection of Family Violence: A Case Study in the District of Casa Grande, Perú

Abstract

The COVID-19 crisis, which emerged in early 2020 in Peru, has highlighted challenges in detecting and responding to domestic violence, with the District of Casa Grande being particularly affected. This urgent issue led to the need to develop more effective and faster tools to identify and address these cases. In this context, the presented research focused on the design and development of an innovative mobile application, equipped with a Voicebot, based on the Mobile-D methodology, known for its efficacy in mobile solutions development. To evaluate the utility and efficiency of this tool, a comprehensive and real case study was conducted using a pure experimental design, dividing the participants into two groups: an experimental one, which used the application, and a control group, which received no intervention. Four key indicators were measured: the time needed to detect a violent incident, the speed in connecting victims with nearby help centers, the total volume of cases identified, and the level of user satisfaction. The results obtained were encouraging: the application significantly reduced detection and response times, increased the number of detected cases, and significantly improved user satisfaction, proving to be an essential tool for addressing domestic violence in the District of Casa Grande.