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

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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 this data. The core of the paper presents a detailed practical procedure to extract relevant usage metrics 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, facilitating deeper insights into smartphone use patterns and their effects. By increasing access to and use of this type of data, this paper seeks to broaden our understanding of digital behavior and communication.

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