Investigating how users engage with a pedometer app

Asadzadeh, P., Rooksby, J. and Chalmers, M. (2016) Investigating how users engage with a pedometer app. In: 3rd International Workshop on Ubiquitous Mobile Instrumentation – Mobile Devices as Sensors on Understanding Human-Behavior, Routines and Context Inference, Heidelberg, Germany, 12-16 Sep 2016, pp. 612-617. ISBN 9781450344623 (doi:10.1145/2968219.2971589)

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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:Conference Proceedings
Keywords:Personal informatics; mobile applications; interaction logs; app usage patterns.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Chalmers, Professor Matthew and Asadzadeh Birjandi, Dr Parvin and Rooksby, Dr John
Authors: Asadzadeh, P., Rooksby, J., and Chalmers, M.
College/School:College of Science and Engineering > School of Computing Science
ISBN:9781450344623
Copyright Holders:Copyright © 2016 The Authors
First Published:First published in Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: 612-617
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
566711A population approach to ubicomp system designMatthew ChalmersEngineering & Physical Sciences Research Council (EPSRC)EP/J007617/1COM - COMPUTING SCIENCE