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Exploring Flow Psychophysiology in Knowledge Work

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Information Systems and Neuroscience

Part of the book series: Lecture Notes in Information Systems and Organisation ((LNISO,volume 29))

Abstract

We report on a first exploration of a new paradigm to study flow physiology in knowledge work that we call controlled experience sampling (cESM) in order to build a bridge for flow physiology research to more unstructured tasks. Results show that the approach elicits a consistent flow experience with intensities as least as high as in an established difficulty-manipulated math task. Yet, significantly lower stress perceptions and heart rate variability (HRV) responses are found in the cESM approach which highlights gaps and consequences for the diagnostic potential of HRV features for the understanding of flow physiology and automated flow observation in bio-adaptive systems.

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Author information

Authors and Affiliations

  1. Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany

    Michael T. Knierim, Raphael Rissler, Anuja Hariharan, Mario Nadj & Christof Weinhardt

Authors
  1. Michael T. Knierim
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  2. Raphael Rissler
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  3. Anuja Hariharan
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  4. Mario Nadj
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  5. Christof Weinhardt
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Corresponding author

Correspondence to Michael T. Knierim .

Editor information

Editors and Affiliations

  1. Information Systems and Quantitative Sciences (ISQS), Texas Tech University, Lubbock, TX, USA

    Fred D. Davis

  2. University of Applied Sciences Upper Austria, Steyr, Oberösterreich, Austria

    René Riedl

  3. Department of Information Systems, University of Liechtenstein, Vaduz, Liechtenstein

    Jan vom Brocke

  4. Department of Information Technology, HEC Montréal, Montreal, QC, Canada

    Pierre-Majorique Léger

  5. Department of Information Systems, Kennesaw State University, Kennesaw, GA, USA

    Adriane B. Randolph

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Knierim, M.T., Rissler, R., Hariharan, A., Nadj, M., Weinhardt, C. (2019). Exploring Flow Psychophysiology in Knowledge Work. In: Davis, F., Riedl, R., vom Brocke, J., Léger, PM., Randolph, A. (eds) Information Systems and Neuroscience. Lecture Notes in Information Systems and Organisation, vol 29. Springer, Cham. https://doi.org/10.1007/978-3-030-01087-4_29

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