The Need to Account for Geographical Diversities in Mobile Data Research

Akhil Mathur, F. Kawsar
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Abstract

Large-scale mobile data studies have the potential to provide valuable insights regarding usage behavior of smartphone users. A major challenge in generalising the findings of these studies is the inherent population diversity in large-scale smartphone usage data. Many published studies however do not account for population heterogeneities in their analysis, and instead present their findings based on the aggregate usage data. In this paper, we investigate the effects of geographical diversity on smartphone data collected from 130 users from India, Europe and the US over a period of four months. Our results show significant differences in daily usage duration, session-level usage, and temporal usage patterns across various geographies, and stress the need to account for population heterogeneities in mobile data research and its application in real-world systems.
在移动数据研究中考虑地理多样性的必要性
大规模移动数据研究有可能为智能手机用户的使用行为提供有价值的见解。推广这些研究结果的一个主要挑战是大规模智能手机使用数据中固有的人口多样性。然而,许多已发表的研究并没有在分析中考虑人口异质性,而是根据总体使用数据提出了他们的发现。在本文中,我们调查了地理多样性对智能手机数据的影响,这些数据收集自来自印度、欧洲和美国的130名用户,历时4个月。我们的研究结果显示,在不同地区的日常使用时长、会话级使用和时间使用模式上存在显著差异,并强调了在移动数据研究及其在现实世界系统中的应用中考虑人口异质性的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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