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Increasing Quality of Life Awareness with Life-Logging

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eHealth 360°

Abstract

Life Meter is a health mobile application that helps users raise awareness of their quality of life by showing indicators derived from life-logs collected by commercial wearable trackers, smartphone sensors, and manual input. We describe the general infrastructure we developed for the collection and fusion of life-logs, how the quality of life indicators are calculated, and the GUI of Life Meter. The results of a live-user study show that our application has high functionality and subjective quality, and, according to the users, it increases their awareness of the importance of monitoring quality of life.

The research presented in this paper was conducted while Floriano Zini was affiliated to Free University of Bozen-Bolzano.

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Notes

  1. 1.

    One had a too old version of Android and the other was not able to successfully follow the app installation instructions.

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Author information

Authors and Affiliations

  1. University of Bologna, Bologna, Italy

    Floriano Zini

  2. Free University of Bozen-Bolzano, Bolzano, Italy

    Martin Reinstadler & Francesco Ricci

Authors
  1. Floriano Zini
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  2. Martin Reinstadler
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  3. Francesco Ricci
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Corresponding author

Correspondence to Floriano Zini .

Editor information

Editors and Affiliations

  1. Applied Informatics in mHealth, National Technical University of Athens, Zografou, Greece

    Kostas Giokas

  2. Budapest University of Technology, Budapest, Hungary

    Laszlo Bokor

  3. University of Glasgow, Glaswow, United Kingdom

    Frank Hopfgartner

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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Zini, F., Reinstadler, M., Ricci, F. (2017). Increasing Quality of Life Awareness with Life-Logging. In: Giokas, K., Bokor, L., Hopfgartner, F. (eds) eHealth 360°. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 181. Springer, Cham. https://doi.org/10.1007/978-3-319-49655-9_36

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  • DOI: https://doi.org/10.1007/978-3-319-49655-9_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49654-2

  • Online ISBN: 978-3-319-49655-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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