Capturing Transitions Between Users' Semantically Meaningful Places Using Mobile Devices

T. Lovett, E. O'Neill

Research output: Chapter in Book/Report/Conference proceedingOther chapter contribution

2 Citations (Scopus)
141 Downloads (Pure)

Abstract

Due to their ubiquity and ever-increasing technical capabilities, mobile devices are often used as data collection tools by researchers in multiple fields, notably HCI and Ubicomp. Although the data gathered by mobile devices can be generated from sources such as the device users, it is difficult for researchers to capture ground truth and verify data integrity beyond controlled laboratory studies. This lack of knowledge about data integrity may, in turn, affect the quality of higher-level inferences made using the data. In this paper, we report on the experience and results of a hybrid laboratory/field study in which we use mobile devices to infer the moment at which users transition between self-defined semantically meaningful personal places. The results show that filtered device motion does appear to reflect these moments of transition well, but the nature of the research question makes verification difficult in a field study.
Original languageEnglish
Title of host publicationMCSS '12 Proceedings of the 1st ACM workshop on Mobile systems for computational social science
Place of PublicationNew York, USA
PublisherAssociation for Computing Machinery
Pages11-16
Number of pages6
ISBN (Electronic)978-1-4503-1324-7
DOIs
Publication statusPublished - 2012
EventMobiSys 2012: The Tenth International Conference on Mobile Systems, Applications, and Services - Low Wood Bay, Lake District, UK United Kingdom
Duration: 24 Jun 201228 Jun 2012

Conference

ConferenceMobiSys 2012: The Tenth International Conference on Mobile Systems, Applications, and Services
CountryUK United Kingdom
CityLow Wood Bay, Lake District
Period24/06/1228/06/12

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  • Cite this

    Lovett, T., & O'Neill, E. (2012). Capturing Transitions Between Users' Semantically Meaningful Places Using Mobile Devices. In MCSS '12 Proceedings of the 1st ACM workshop on Mobile systems for computational social science (pp. 11-16). Association for Computing Machinery. https://doi.org/10.1145/2307863.2307868