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Personal and Ubiquitous Computing

, Volume 17, Issue 3, pp 491–502 | Cite as

Contextual usage patterns in smartphone communication services

  • Juuso KarikoskiEmail author
  • Tapio Soikkeli
Original Article

Abstract

The mobile end user context has received a lot of attention from the mobile services industry lately. The location-based and context-sensitive information that are characteristic for smartphones can be utilized to study the use context of mobile end users. Accordingly, this article utilizes handset-based data in analyzing how the context of use affects the usage of smartphone communication services. The context is identified with an algorithm utilizing mobile network cell ID and WLAN data and resulting in five place-related contexts, namely Home, Office, Other meaningful, Elsewhere and Abroad. According to our analysis, voice calls are used least intensively in the Home context where the length of the voice calls is the longest, however. Email and SMS are used most intensively in the Office context, where the voice calls are the shortest in duration. Finally, mobile IM/VoIP and social media services are more free-time oriented as they are used most intensively in Elsewhere and Other meaningful contexts. The findings imply that people use smartphone communication services differently depending on the use context. However, context can be defined and identified in a number of ways, and this article presents only one solution that is highly dependent on the type of data collected.

Keywords

Smartphones Communication services Context detection Handset-based measurements 

Abbreviations

AP

Access point

CDR

Call data record

GPS

Global positioning system

IM

Instant messaging

ISO

International organization for standardization

MAC

Media access control

MCC

Mobile country code

MI

Mobile internet

MMS

Multimedia messaging service

SMS

Short message service

URL

Uniform resource locator

VoIP

Voice over internet protocol

WLAN

Wireless local area network

Notes

Acknowledgment

The work has been supported by the OtaSizzle research project that is funded by Aalto University’s MIDE program and Helsinki University of Technology TKK’s “Technology for Life” campaign donations from private companies and communities. The work was carried out in the Econ@Tel COST605 context with support from the MoMIE project and the Future Internet Graduate School (FIGS). The authors wish to thank MobiTrack Innovations Ltd. for providing the mobile audience measurement platform. The sponsoring from Nokia and Elisa to this work is also acknowledged.

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Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  1. 1.Department of Communications and NetworkingAalto UniversityAaltoFinland

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