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Título
An app based on cooperative learning for the detection of danger points and the prevention of risk areas in a city
Autor(es)
Materia
crime
prevention
mobile application
crowdsourcing
geolocation
Clasificación UNESCO
1203.17 Informática
Fecha de publicación
2019
Citación
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.
Resumen
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.
URI
DOI
10.1145/3362789.3362929
Colecciones
- GRIAL. Artículos [441]