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

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 associated 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.

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Publication Details

Journal
Computational Communication Research
Published
2025-05-08
DOI
https://doi.org/10.5117/ccr2025.1.8.parr
Citations
2
Primary Topic
Human Mobility and Location-Based Analysis
Type
article
Field-Weighted Citation Impact
4.35

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article

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

Roland Tóth, Douglas A. Parry
2 citations
Computational Communication Research
Human Mobility and Location-Based Analysis
4.35
article

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

Roland Tóth, Douglas A. Parry
article en
2 citations

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 associated 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.

Computational Communication ResearchVol. 7(1)
Stellenbosch University (ZA), Weizenbaum Institute (DE), Vrije Universiteit Amsterdam (NL)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 7%
Human Mobility and Location-Based Analysis
4.35
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