| dc.contributor.advisor | Eric Klopfer. | en_US |
| dc.contributor.author | Sosa, Fidel, M. Eng. Massachusetts Institute of Technology | en_US |
| dc.contributor.other | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. | en_US |
| dc.date.accessioned | 2014-11-24T18:41:31Z | |
| dc.date.available | 2014-11-24T18:41:31Z | |
| dc.date.copyright | 2014 | en_US |
| dc.date.issued | 2014 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1721.1/91872 | |
| dc.description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014. | en_US |
| dc.description | Cataloged from PDF version of thesis. | en_US |
| dc.description | Includes bibliographical references (page 75). | en_US |
| dc.description.abstract | TaleBlazer is an augmented-reality platform that lets users create location-based games for their mobile devices. In order to determine the efficacy and use cases for TaleBlazer games, it is necessary to capture data about user behavior. This thesis presents TaleBlazer Analytics, an automated system which collects and analyzes mobile users' behavior in TaleBlazer games. It details the development of the TaleBlazer Analytics system, comprised of the backend data collection service and the front-end data analysis user interface. | en_US |
| dc.description.statementofresponsibility | by Fidel Sosa. | en_US |
| dc.format.extent | 75 pages | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Massachusetts Institute of Technology | en_US |
| dc.rights | M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. | en_US |
| dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | en_US |
| dc.subject | Electrical Engineering and Computer Science. | en_US |
| dc.title | TaleBlazer analytics : automated anonymous analytics of mobile users' behavior | en_US |
| dc.title.alternative | Automated anonymous analytics of mobile users' behavior | en_US |
| dc.type | Thesis | en_US |
| dc.description.degree | M. Eng. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| dc.identifier.oclc | 894355945 | en_US |
