Thesis Details
Context-aware filtr notifikací pro Android
The goal of this thesis is to develop an application for devices running Android which will determine user profile, based on obtained context, and apply user pre-defined sound settings for this profile. The thesis contains a description of common theory and design of user interface which was implemented as fully operational application. The application uses Naive Bayes classifier and Decision tree for determining the user profile. The functionality of the application was successfully tested by twenty users. The average ratings in the questionnaires were about eight and a half points from a possible maximum of ten. These results can be considered successful.
Android, context, context-awareness, filter, notifications, Bayes, graphical user interface
Beran Vítězslav, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Burget Radek, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D. (DITS FIT BUT), člen
Vašíček Zdeněk, doc. Ing., Ph.D. (DCSY FIT BUT), člen
@bachelorsthesis{FITBT18621,
author = "Samuel Jaklovsk\'{y}",
type = "Bachelor's thesis",
title = "Context-aware filtr notifikac\'{i} pro Android",
school = "Brno University of Technology, Faculty of Information Technology",
year = 2016,
location = "Brno, CZ",
language = "czech",
url = "https://www.fit.vut.cz/study/thesis/18621/"
}