Personal Tracking of Screen Time on Digital Devices

Rooksby, J., Asadzadeh Birjandi, P., Rost, M., Morrison, A. and Chalmers, M. (2016) Personal Tracking of Screen Time on Digital Devices. In: CHI 2016, San Jose, CA, USA, 7-12 May 2016, pp. 284-296. ISBN 9781450333627 (doi: 10.1145/2858036.2858055)

115067.pdf - Accepted Version



Numerous studies have tracked people’s everyday use of digital devices, but without consideration of how such data might be of personal interest to the user. We have developed a personal tracking application that enables users to automatically monitor their ‘screen time’ on mobile devices (iOS and Android) and computers (Mac and Windows). The application interface enables users to combine screen time data from multiple devices. We trialled the application for 28+ days with 21 users, collecting log data and interviewing each user. We found that there is interest in personal tracking in this area, but that the study participants were less interested in quantifying their overall screen time than in gaining data about their use of specific devices and applications. We found that personal tracking of device use is desirable for goals including: increasing productivity, disciplining device use, and cutting down on use.

Item Type:Conference Proceedings
Glasgow Author(s) Enlighten ID:Morrison, Dr Alistair and Rooksby, Dr John and Chalmers, Professor Matthew and Rost, Dr Mattias and Asadzadeh Birjandi, Dr Parvin
Authors: Rooksby, J., Asadzadeh Birjandi, P., Rost, M., Morrison, A., and Chalmers, M.
Subjects:Q Science > QA Mathematics > QA76 Computer software
College/School:College of Science and Engineering > School of Computing Science
Copyright Holders:Copyright © 2016 ACM
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher
Related URLs:
Data DOI:/10.5525/gla.researchdata.248

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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