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Unobtrusive Monitoring of Knowledge Workers for Stress Self-regulation

  • Conference paper
User Modeling, Adaptation, and Personalization (UMAP 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7899))

Abstract

In our connected workplaces it can be hard to work calm and focused. In a simulated work environment we manipulated the stressors time pressure and email interruptions. We found effects on subjective experience and working behavior. Initial results indicate that the sensor data that we collected is suitable for user state modeling in stress related terms.

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References

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Author information

Authors and Affiliations

  1. TNO, The Netherlands

    Saskia Koldijk, Maya Sappelli, Mark Neerincx & Wessel Kraaij

  2. Radboud University Nijmegen, The Netherlands

    Saskia Koldijk, Maya Sappelli & Wessel Kraaij

  3. Technical University Delft, The Netherlands

    Mark Neerincx

Authors
  1. Saskia Koldijk
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  2. Maya Sappelli
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  3. Mark Neerincx
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  4. Wessel Kraaij
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Editor information

Editors and Affiliations

  1. Department of Computer and Information Science, University of Delaware, 19716, Delaware, DE, USA

    Sandra Carberry

  2. School of Computing, National College of Ireland, Mayor Street, IFSC, Dublin 1, Ireland

    Stephan Weibelzahl

  3. Dipartimento di Ingegneria, Roma Tre University, Via della Vasca Navale, 79, 00146, Rome, Italy

    Alessandro Micarelli

  4. Department of Computer Science, University of Bari Aldo Moro, 70126, Bari, Italy

    Giovanni Semeraro

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© 2013 Springer-Verlag Berlin Heidelberg

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Koldijk, S., Sappelli, M., Neerincx, M., Kraaij, W. (2013). Unobtrusive Monitoring of Knowledge Workers for Stress Self-regulation. In: Carberry, S., Weibelzahl, S., Micarelli, A., Semeraro, G. (eds) User Modeling, Adaptation, and Personalization. UMAP 2013. Lecture Notes in Computer Science, vol 7899. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38844-6_31

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  • DOI: https://doi.org/10.1007/978-3-642-38844-6_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38843-9

  • Online ISBN: 978-3-642-38844-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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