Smartphone usage analysis based on actual-use survey

Takeshi Kamiyama, Kenji Hisazumi, Hiroshi Inamura, Teppei Konishi, Ken Ohta, Akira Fukuda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper presents a smartphone usage model that will be useful as ground data for works such as proposals on improving services/technologies related to smartphones. It is based on an actual-use survey involving about 700 smartphone users. We conduct web interviews with users to get their demographic data - age, sex, for example, and gather many kinds of usage traces from their device using our logger application. The model describes 1) daily usage pattern (combinations of application usages) and 2) pattern features - demographics, major application usages and so on. Through a cluster analysis of the usage traces, we find there are six typical daily usage patterns and half the users have multiple patterns that differ with the day.

Original languageEnglish
Title of host publicationMobiCASE 2016 - 8th EAI International Conference on Mobile Computing, Applications and Services
EditorsFahim Kawsar, Mirco Musolesi, Pei Zhang
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781631901379
DOIs
Publication statusPublished - Dec 1 2016
Event8th EAI International Conference on Mobile Computing, Applications and Services, MobiCASE 2016 - Cambridge, United Kingdom
Duration: Nov 30 2016Dec 1 2016

Publication series

NameMobiCASE 2016 - 8th EAI International Conference on Mobile Computing, Applications and Services

Other

Other8th EAI International Conference on Mobile Computing, Applications and Services, MobiCASE 2016
Country/TerritoryUnited Kingdom
CityCambridge
Period11/30/1612/1/16

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Networks and Communications

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