TY - JOUR
T1 - Extracting Meaningful Measures of Smartphone Usage from Android Event Log Data
T2 - A Methodological Primer
AU - Parry, Douglas A.
AU - Toth, Roland
N1 - Published online: 2025-02-14.
Publisher Copyright:
© The authors.
PY - 2025/1
Y1 - 2025/1
N2 - 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.
AB - 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.
KW - Android event log
KW - digital trace data
KW - log data
KW - smartphone tracking
KW - Smartphone usage
UR - http://www.scopus.com/inward/record.url?scp=105006998606&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=105006998606&partnerID=8YFLogxK
U2 - 10.5117/CCR2025.1.8.PARR
DO - 10.5117/CCR2025.1.8.PARR
M3 - Article
AN - SCOPUS:105006998606
SN - 2665-9085
VL - 7
SP - 1
EP - 32
JO - Computational Communication Research
JF - Computational Communication Research
IS - 1
ER -