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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorSpruit, Dr. M.R.
dc.contributor.authorEskes, P.A.
dc.date.accessioned2014-11-26T18:01:58Z
dc.date.available2014-11-26T18:01:58Z
dc.date.issued2014
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/18854
dc.description.abstractAs the smartphone becomes an integral part of our lives, its value as a rich data source reaches an increasing potential. Several studies exist using smartphone-derived data to discover relationships between user characteristics and different types of smartphone use. However, none tried to use smartphone data to capture an individual’s social behavior into one profile, aimed at providing addi-tional information for the diagnosis of social deficits. This study presents a way of combining different data sources for the creation of sociability profiles using a scoring mechanism that allows for the easy addition and removal of data sources. Finally, this model has been used to create social profiles of ten test subjects, which could function as comparison material for future studies.
dc.description.sponsorshipUtrecht University
dc.format.extent2899838
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.titleThe sociability score: app-based social profiling of students from a health-care perspective
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordsData mining, psychological health, smartphone application, smartphone use, sociability, social deficits, social exploration, social profiling, students.
dc.subject.courseuuBusiness Informatics


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