Inferring Social Networks from Distributed Bluetooth Scanning

Felix Manuel Rubio

AbstractSocial behavior of an audience in a large-scale event is a valuable source of information and knowledge that can be exploit with the use of the right tool. Related to this issue, this thesis aims to develop an application, based on Android operative systems, presenting a game that has been called Roskilde Hide and Seek, which presents two different points of view. First of all, seeing as a game, the main goal is to guide the user to find a person in the experimental area, studying two concepts here, the way that the user has found that person and the observation of the ability of the game to motivate the user to move around the experimental area. Second of all, as a source of information, the system has to collect data from mobile devices to perform a social behavior research. The built application converts the mobile devices that have installed the game into distributed scanners by the use of Bluetooth and GPS sensors, which allows to obtain data from each one of the mentioned devices. The application is implemented to run in the area of Roskilde Festival, one of the biggest music festival in Europe and the results obtained after the experiment have been detailed and analyzed, assessing the concept of "gamification" and more specifically, the Roskilde Hide and seek application as a proper tool for the raised issue.
TypeMaster's thesis [Academic thesis]
PublisherTechnical University of Denmark, DTU Informatics, E-mail:
AddressAsmussens Alle, Building 305, DK-2800 Kgs. Lyngby, Denmark
NoteDTU supervisors: Jakob Eg Larsen,, and Sune Lehmann Jørgensen,, DTU Informatics
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IMM Group(s)Intelligent Signal Processing

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