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

JMIR Mhealth Uhealth. 2019 Mar 26;7(3):e12171. doi: 10.2196/12171.

Abstract

Background: Assessing human behaviors via smartphone for monitoring the pattern of daily behaviors has become a crucial issue in this century. Thus, a more accurate and structured methodology is needed for smartphone use research.

Objective: The study aimed to investigate the duration of data collection needed to establish a reliable pattern of use, how long a smartphone use cycle could perpetuate by assessing maximum time intervals between 2 smartphone periods, and to validate smartphone use and use/nonuse reciprocity parameters.

Methods: Using the Know Addiction database, we selected 33 participants and passively recorded their smartphone usage patterns for at least 8 weeks. We generated 4 parameters on the basis of smartphone use episodes, including total use frequency, total use duration, proactive use frequency, and proactive use duration. A total of 3 additional parameters (root mean square of successive differences, Control Index, and Similarity Index) were calculated to reflect impaired control and compulsive use.

Results: Our findings included (1) proactive use duration correlated with subjective smartphone addiction scores, (2) a 2-week period of data collection is required to infer a 2-month period of smartphone use, and (3) smartphone use cycles with a time gap of 4 weeks between them are highly likely independent cycles.

Conclusions: This study validated temporal stability for smartphone use patterns recorded by a mobile app. The results may provide researchers an opportunity to investigate human behaviors with more structured methods.

Keywords: mobile phone; smartphone; smartphone addiction; smartphone use; temporal stability.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Data Collection / standards*
  • Data Collection / statistics & numerical data
  • Female
  • Humans
  • Male
  • Middle Aged
  • Self Report
  • Smartphone / instrumentation
  • Smartphone / statistics & numerical data*
  • Time Factors*