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Determining Typical Smartphone Usage: What Data Do We Need?

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

  • 11 Department of Psychology, Lancaster University , Lancaster, United Kingdom .

Cyberpsychology, Behavior and Social Networking
|May 22, 2018
PubMed
Summary
This summary is machine-generated.

Measuring smartphone use for behavioral addiction research requires sufficient data. Habitual checking behaviors can be reliably inferred within 2 days, while typical weekly usage needs 5 days of data.

Keywords:
addictionbehavioral addictiondigital tracessmartphones

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Area of Science:

  • Behavioral addiction research
  • Psychology
  • Human-computer interaction

Background:

  • Problematic smartphone use is a growing concern in behavioral addiction.
  • Mobile app-based measurement of smartphone usage is becoming more prevalent.
  • Determining necessary data duration is crucial for advancing research in this field.

Purpose of the Study:

  • To determine the optimal duration for measuring smartphone operation to reliably infer usage patterns.
  • To investigate the reliability of inferring habitual checking behaviors.
  • To assess the association between self-reported problematic smartphone use and real-time usage patterns.

Main Methods:

  • Analysis of smartphone usage data collected via mobile apps.
  • Examination of data duration needed for reliable inference of general usage and checking behaviors.
  • Comparison of objective usage data with a self-report measure of problematic smartphone use.

Main Results:

  • A minimum of 5 days of data collection is recommended to reflect typical weekly smartphone usage in hours.
  • Habitual checking behaviors (uses <15 seconds) can be reliably inferred within 2 days of data collection.
  • Objective smartphone usage patterns did not reliably correlate with self-reported measures of problematic smartphone use.

Conclusions:

  • Smartphone usage patterns are characterized by repetition.
  • Checking behavior emerges as a consistent and efficient metric for quantifying both typical and problematic smartphone usage.
  • Future research should consider the distinct measurement requirements for overall usage versus checking behaviors.