Extracting Meaningful Measures of Smartphone Usage from Android Event Log Data: A Methodological Primer

Douglas A. Parry, Roland Toth

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

As smartphones become increasingly integral to daily life, their importance for understanding human behavior will only continue to grow. Recognizing the potential of objective data on smartphone usage and the challenges as-sociated with raw Android event log data, this paper provides a foundational guide for extracting meaningful measures of smartphone usage from such data. We describe the characteristics of Android event log data, define key smartphone usage types (i.e., glances, sessions, and episodes), and briefly discuss common challenges in handling these data. The core of the paper presents a detailed practical procedure to extract relevant usage metrics (sessions, glances, app episodes) from raw Android event logs, described visually, verbally, and with pseudo-code (with sample data and code in R available in the supplementary materials). This guide aims to equip researchers with the knowledge and tools to effectively utilize Android event log data, advancing knowledge of smartphone use patterns and their effects.

Original languageEnglish
Pages (from-to)1-32
Number of pages32
JournalComputational Communication Research
Volume7
Issue number1
DOIs
Publication statusPublished - Jan 2025

Bibliographical note

Published online: 2025-02-14.

Publisher Copyright:
© The authors.

Keywords

  • Android event log
  • digital trace data
  • log data
  • smartphone tracking
  • Smartphone usage

Fingerprint

Dive into the research topics of 'Extracting Meaningful Measures of Smartphone Usage from Android Event Log Data: A Methodological Primer'. Together they form a unique fingerprint.

Cite this