How to Measure Sessions of Mobile Device Use? Quantification, Evaluation, and Applications
Jonathan J. H. Zhu, Hexin Chen, Tai-Quan Peng, Xiao Fan Liu and, Haixing Dai

TL;DR
This paper introduces a new variable-length measure called 'session' to better capture the complex temporal patterns of mobile device use, beyond just duration, and demonstrates its quantification, evaluation, and applications.
Contribution
It proposes a novel session measure that captures frequency, timing, and sequence of mobile phone use, filling a gap in existing duration-focused metrics.
Findings
Effective quantification of sessions from open source data
Aggregation of sessions reveals new behavioral insights
Application of measure supports theoretical and practical analysis
Abstract
Research on mobile phone use often starts with a question of "How much time users spend on using their phones?". The question involves an equal-length measure that captures the duration of mobile phone use but does not tackle the other temporal characteristics of user behavior, such as frequency, timing, and sequence. In the study, we proposed a variable-length measure called "session" to uncover the unmeasured temporal characteristics. We use an open source data to demonstrate how to quantify sessions, aggregate the sessions to higher units of analysis within and across users, evaluate the results, and apply the measure for theoretical or practical purposes.
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Taxonomy
TopicsGreen IT and Sustainability · Human Mobility and Location-Based Analysis · Context-Aware Activity Recognition Systems
