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  • CBSN2018

    Rights statement: Final publication is available from Mary Ann Liebert, Inc., publishers http://dx.doi.org/10.1089/cyber.2017.0652

    Accepted author manuscript, 334 KB, PDF document

    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

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Determining typical smartphone usage: What data do we need?

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published
<mark>Journal publication date</mark>1/06/2018
<mark>Journal</mark>Cyberpsychology, Behavior, and Social Networking
Issue number6
Volume21
Number of pages4
Pages (from-to)395-398
Publication StatusPublished
Early online date21/05/18
<mark>Original language</mark>English

Abstract

Problematic smartphone use is an emerging issue in behavioural addiction research. At the same time, measuring smartphone use with mobile apps has become increasingly common. However, understanding how much data is necessary requires careful consideration if the field is to move forward. Here, we examine how much time should be spent measuring mobile phone operation in order to reliably infer general patterns of usage and repetitive checking behaviours. In a second analysis, we consider whether a self-report measure of problematic smartphone use is associated with real-time patterns of use. Results suggest that smartphone usage collected for a minimum of five days will reflect typical weekly usage (in hours), but habitual checking behaviours (uses lasting less than 15 seconds) can be reliably inferred within two days. These measurements did not reliably correlate with a self-reported measure. We conclude that patterns of smartphone use are repetitive and our results suggest that checking behaviour is a particularly consistent and efficient measure when quantifying typical and problematic smartphone usage.

Bibliographic note

Final publication is available from Mary Ann Liebert, Inc., publishers http://dx.doi.org/10.1089/cyber.2017.0652