Asadzadeh, Parvin, Rooksby, John and Chalmers, Matthew (2016) Investigating how users engage with a pedometer app. In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Adjunct - UbiComp '16. Association for Computing Machinery, pp. 612-617. ISBN 9781450344623
Full text not available from this repository. (Request a copy)Abstract
Mobile application usage data has been investigated by many researchers to explore reasoning about users' contexts and their routines. A large number of early studies in this area provide relatively simple analyses, and some more recent works look more deeply at the patterns of logged events. This paper explains a new work on the analysis of interaction logs collected from a pedometer-based mobile app to extract different usage patterns of the app.
Item Type: | Book Section |
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Uncontrolled Keywords: | Personal informatics; mobile applications; interaction logs; app usage patterns |
Subjects: | G500 Information Systems G900 Others in Mathematical and Computing Sciences |
Department: | Faculties > Engineering and Environment > Computer and Information Sciences |
Depositing User: | Becky Skoyles |
Date Deposited: | 07 Mar 2018 15:22 |
Last Modified: | 11 Oct 2019 21:45 |
URI: | http://nrl.northumbria.ac.uk/id/eprint/33637 |
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