The 8th EAI International Conference on Mobile Computing, Applications and Services

Research Article

Smartphone Usage Analysis Based on Actual-Use Survey

  • @INPROCEEDINGS{10.4108/eai.30-11-2016.2267052,
        author={Takeshi Kamiyama and Kenji Hisazumi and Hiroshi Inamura and Teppei Konishi and Ken Ohta and Akira Fukuda},
        title={Smartphone Usage Analysis Based on Actual-Use Survey},
        proceedings={The 8th EAI International Conference on Mobile Computing, Applications and Services},
        publisher={ACM},
        proceedings_a={MOBICASE},
        year={2016},
        month={12},
        keywords={smartphone usage survey ubiquitous and mobile computing},
        doi={10.4108/eai.30-11-2016.2267052}
    }
    
  • Takeshi Kamiyama
    Kenji Hisazumi
    Hiroshi Inamura
    Teppei Konishi
    Ken Ohta
    Akira Fukuda
    Year: 2016
    Smartphone Usage Analysis Based on Actual-Use Survey
    MOBICASE
    ACM
    DOI: 10.4108/eai.30-11-2016.2267052
Takeshi Kamiyama1,*, Kenji Hisazumi2, Hiroshi Inamura3, Teppei Konishi1, Ken Ohta1, Akira Fukuda2
  • 1: NTT DOCOMO, Inc.
  • 2: Kyushu University
  • 3: Future University Hakodate
*Contact email: kamiyamata@nttdocomo.com

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.