Ryding, FC and Kuss, DJ ORCID: https://orcid.org/0000-0001-8917-782X, 2020. Passive objective measures in the assessment of problematic smartphone use: a systematic review. Addictive Behaviors Reports. ISSN 2352-8532
Preview |
Text
1294294_Kuss.pdf - Published version Download (372kB) | Preview |
Abstract
Research focussing on problematic smartphone use has predominantly employed psychometric tests which cannot capture the automatic processes and behaviours associated with problematic use. The present review aimed to identify passive objective measures that have been used or developed to assess problematic smartphone use. A systematic search was conducted using Web of Science, Scopus, PsychInfo and PubMed databases to identify passive objective measures that have been employed to assess problematic smartphone use, resulting in 18 studies meeting the inclusion criteria. Objective data that were monitored predominantly focussed on general screen usage time and checking patterns. Findings demonstrate that passive monitoring can enable smartphone usage patterns to be inferred within a relatively short timeframe and provide ecologically valid data on smartphone behaviour. Challenges and recommendations of employing passive objective measures in smartphone-based research are discussed.
Item Type: | Journal article |
---|---|
Publication Title: | Addictive Behaviors Reports |
Creators: | Ryding, F.C. and Kuss, D.J. |
Publisher: | Elsevier |
Date: | 27 January 2020 |
ISSN: | 2352-8532 |
Identifiers: | Number Type 10.1016/j.abrep.2020.100257 DOI S2352853219301865 Publisher Item Identifier 1294294 Other |
Rights: | © 2020 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/). |
Divisions: | Schools > School of Social Sciences |
Record created by: | Linda Sullivan |
Date Added: | 20 Feb 2020 09:08 |
Last Modified: | 20 Feb 2020 09:28 |
URI: | https://irep.ntu.ac.uk/id/eprint/39236 |
Actions (login required)
Edit View |
Statistics
Views
Views per month over past year
Downloads
Downloads per month over past year