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Using Log-Data as a Starting Point to Make eHealth More Persuasive

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Persuasive Technology (PERSUASIVE 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7822))

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Abstract

Despite the large number of eHealth projects to date and the positive outcomes of evaluation studies, the adherence to eHealth interventions is lower than expected. To understand how persuasive technology can influence the adherence to eHealth interventions process data (log-data) about the usage of technology (system and content) can provide a starting point for employment of persuasive features into the design of technology. The log-data of the usage of an eMental health intervention used as an example in this paper, contained a record of actions taken by each participant with for each action the following information: user-id; action type; action specification; time and day. The log-data showed critical episodes for employment of persuasive components to increase adherence: episodes to determine the willingness to follow a therapy, awareness of their non-coping strategies, adoption of “new” skills for behavior change.

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Author information

Authors and Affiliations

  1. Department of Health, Psychology and Technology, University of Twente, Netherlands

    Saskia M. Kelders & Julia E. W. C. (Lisette) van Gemert-Pijnen

Authors
  1. Saskia M. Kelders
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  2. Julia E. W. C. (Lisette) van Gemert-Pijnen
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Editor information

Editors and Affiliations

  1. NICTA, Alexandria, NSW, Australia

    Shlomo Berkovsky

  2. CSIRO, Epping, NSW, Australia

    Jill Freyne

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Kelders, S.M., van Gemert-Pijnen, J.E.W.C.(. (2013). Using Log-Data as a Starting Point to Make eHealth More Persuasive. In: Berkovsky, S., Freyne, J. (eds) Persuasive Technology. PERSUASIVE 2013. Lecture Notes in Computer Science, vol 7822. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37157-8_13

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  • DOI: https://doi.org/10.1007/978-3-642-37157-8_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37156-1

  • Online ISBN: 978-3-642-37157-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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