Determining Typical Smartphone Usage: What Data Do We Need?
Author(s) -
Thomas Wilcockson,
David A. Ellis,
Heather Shaw
Publication year - 2018
Publication title -
cyberpsychology behavior and social networking
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.199
H-Index - 143
eISSN - 2152-2723
pISSN - 2152-2715
DOI - 10.1089/cyber.2017.0652
Subject(s) - smartphone application , smartphone addiction , measure (data warehouse) , computer science , phone , smartphone app , internet privacy , mobile phone , usage data , human–computer interaction , field (mathematics) , behavioral pattern , mobile apps , data science , psychology , world wide web , data mining , multimedia , addiction , telecommunications , mathematics , linguistics , philosophy , neuroscience , pure mathematics , software engineering
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.
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