Literature DB >> 29781716

Determining Typical Smartphone Usage: What Data Do We Need?

Thomas D W Wilcockson1, David A Ellis1,2, Heather Shaw2.   

Abstract

Problematic smartphone use is an emerging issue in behavioral addiction research. At the same time, measuring smartphone use with mobile apps has become increasingly common. However, understanding how much data are necessary requires careful consideration if the field is to move forward. Here, we examine how much time should be spent measuring mobile phone operation to reliably infer general patterns of usage and repetitive checking behaviors. 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 5 days will reflect typical weekly usage (in hours), but habitual checking behaviors (uses lasting <15 seconds) can be reliably inferred within 2 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 behavior is a particularly consistent and efficient measure when quantifying typical and problematic smartphone usage.

Keywords:  addiction; behavioral addiction; digital traces; smartphones

Mesh:

Year:  2018        PMID: 29781716     DOI: 10.1089/cyber.2017.0652

Source DB:  PubMed          Journal:  Cyberpsychol Behav Soc Netw        ISSN: 2152-2715


  13 in total

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Authors:  Joseph Firth; John Torous; Brendon Stubbs; Josh A Firth; Genevieve Z Steiner; Lee Smith; Mario Alvarez-Jimenez; John Gleeson; Davy Vancampfort; Christopher J Armitage; Jerome Sarris
Journal:  World Psychiatry       Date:  2019-06       Impact factor: 49.548

Review 2.  Teenagers, screens and social media: a narrative review of reviews and key studies.

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Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2020-01-10       Impact factor: 4.328

3.  Piloting Smartphone Digital Phenotyping to Understand Problematic Internet Use in an Adolescent and Young Adult Sample.

Authors:  Meredith Gansner; Melanie Nisenson; Vanessa Lin; Nicholas Carson; John Torous
Journal:  Child Psychiatry Hum Dev       Date:  2022-01-19

4.  Temporal Stability of Smartphone Use Data: Determining Fundamental Time Unit and Independent Cycle.

Authors:  Yuan-Chien Pan; Hsiao-Han Lin; Yu-Chuan Chiu; Sheng-Hsuan Lin; Yu-Hsuan Lin
Journal:  JMIR Mhealth Uhealth       Date:  2019-03-26       Impact factor: 4.773

5.  Cognition in Context: Understanding the Everyday Predictors of Cognitive Performance in a New Era of Measurement.

Authors:  Emma Weizenbaum; John Torous; Daniel Fulford
Journal:  JMIR Mhealth Uhealth       Date:  2020-07-23       Impact factor: 4.773

6.  Anomaly detection to predict relapse risk in schizophrenia.

Authors:  Philip Henson; Ryan D'Mello; Aditya Vaidyam; Matcheri Keshavan; John Torous
Journal:  Transl Psychiatry       Date:  2021-01-11       Impact factor: 6.222

7.  Does excessive use of smartphones and apps make us more impulsive? An approach from behavioural economics.

Authors:  Oscar Robayo-Pinzon; Gordon R Foxall; Luz Alexandra Montoya-Restrepo; Sandra Rojas-Berrio
Journal:  Heliyon       Date:  2021-02-06

8.  Investigating Associations Between Screen Time and Symptomatology in Individuals With Serious Mental Illness: Longitudinal Observational Study.

Authors:  Philip Henson; Elena Rodriguez-Villa; John Torous
Journal:  J Med Internet Res       Date:  2021-03-10       Impact factor: 5.428

9.  Absence of Objective Differences between Self-Identified Addicted and Healthy Smartphone Users?

Authors:  Kristoffer Geyer; Xavier Carbonell; Marta Beranuy; Fran Calvo
Journal:  Int J Environ Res Public Health       Date:  2021-04-01       Impact factor: 3.390

10.  Validation of Self-Reported Smartphone Usage Against Objectively-Measured Smartphone Usage in Hong Kong Chinese Adolescents and Young Adults.

Authors:  Paul H Lee; Andy C Y Tse; Cynthia S T Wu; Yim Wah Mak; Uichin Lee
Journal:  Psychiatry Investig       Date:  2021-02-02       Impact factor: 2.505

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