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A Reference Architecture for Personalized and Self-adaptive e-Health Apps

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Software Architecture (ECSA 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1269))

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Abstract

A wealth of e-Health mobile apps are available for many purposes, such as life style improvement, mental coaching, etc. The interventions, prompts, and encouragements of e-Health apps sometimes take context into account (e.g., previous interactions or geographical location of the user), but they still tend to be rigid, e.g., by using fixed rule sets or being not sufficiently tailored towards individuals. Personalization to the different users’ characteristics and run-time adaptation to their changing needs and context provide a great opportunity for getting users continuously engaged and active, eventually leading to better physical and mental conditions.

This paper presents a reference architecture for enabling AI-based personalization and self-adaptation of mobile apps for e-Health. The reference architecture makes use of multiple MAPE loops operating at different levels of granularity and for different purposes.

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Notes

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    For the interested reader, we have defined the corresponding viewpoint here: http://s2group.cs.vu.nl/casa-2020-technical-report/.

  2. 2.

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Author information

Authors and Affiliations

  1. Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Eoin Martino Grua & Patricia Lago

  2. Gran Sasso Science Institute, L’Aquila, Italy

    Martina De Sanctis

Authors
  1. Eoin Martino Grua
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  2. Martina De Sanctis
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  3. Patricia Lago
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Corresponding author

Correspondence to Eoin Martino Grua .

Editor information

Editors and Affiliations

  1. University of L’Aquila, L’Aquila, Italy

    Henry Muccini

  2. University of Groningen, Groningen, The Netherlands

    Paris Avgeriou

  3. Faculty of Informatics, Masaryk University, Brno, Czech Republic

    Barbora Buhnova

  4. Department of Computer Science, University of York, York, UK

    Javier Camara

  5. Department of Computer Science, Linnaeus University, Växjö, Sweden

    Mauro Caporuscio

  6. University of L’Aquila, L’Aquila, Italy

    Mirco Franzago

  7. Karlsruhe Institute of Technology, Karlsruhe, Germany

    Anne Koziolek

  8. University of Bergamo, Dalmine, Italy

    Patrizia Scandurra

  9. Gran Sasso Science Institute, L’Aquila, Italy

    Catia Trubiani

  10. Department of Computer Science, KU Leuven, Leuven, Belgium

    Danny Weyns

  11. Faculty of Computer Science, University of Vienna, Vienna, Austria

    Uwe Zdun

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Grua, E.M., De Sanctis, M., Lago, P. (2020). A Reference Architecture for Personalized and Self-adaptive e-Health Apps. In: Muccini, H., et al. Software Architecture. ECSA 2020. Communications in Computer and Information Science, vol 1269. Springer, Cham. https://doi.org/10.1007/978-3-030-59155-7_15

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  • DOI: https://doi.org/10.1007/978-3-030-59155-7_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-59154-0

  • Online ISBN: 978-3-030-59155-7

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