An app based on cooperative learning for the detection of danger points and the prevention of risk areas in a city
Date
2019-10-16
Authors
Pérez Vizcarra, A. A.
Anccasi Figueroa, G. P.
Torres Chana, J. W.
García-Peñalvo, F. J.
Journal Title
Journal ISSN
Volume Title
Publisher
ACM
Abstract
This article gives a general review of the presence of crime in today’s society, its impact in the daily life of the citizens and proposes the use of Safe Paths, a mobile application focused on risk prevention based on social collaboration and cooperative learning to identify dangerous areas and give alerts based on their users’ location and the risks around to them. It also describes some technical aspects of Safe Paths such as its architecture from the MVC approach; the use cases and actors involved in said application and finally shows its graphical user interface.
Description
Keywords
crime, geolocation, prevention, mobile application, crowdsourcing
Citation
A. A. Pérez Vizcarra, G. P. Anccasi Figueroa, J. W. Torres Chana and F. J. García-Peñalvo, "An app based on cooperative learning for the detection of danger points and the prevention of risk areas in a city," in TEEM’19 Proceedings of the Seventh International Conference on Technological Ecosystems for Enhancing Multiculturality (Leon, Spain, October 16th-18th, 2019), M. Á. Conde-González, F. J. Rodríguez-Sedano, C. Fernández-Llamas and F. J. García-Peñalvo, Eds. ICPS: ACM International Conference Proceedings Series, pp. 830-837, New York, NY, USA: ACM, 2019. doi: 10.1145/3362789.3362929.