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Exploring Flow Psychophysiology in Knowledge Work

In: Information Systems and Neuroscience

Author

Listed:
  • Michael T. Knierim

    (Karlsruhe Institute of Technology (KIT))

  • Raphael Rissler

    (Karlsruhe Institute of Technology (KIT))

  • Anuja Hariharan

    (Karlsruhe Institute of Technology (KIT))

  • Mario Nadj

    (Karlsruhe Institute of Technology (KIT))

  • Christof Weinhardt

    (Karlsruhe Institute of Technology (KIT))

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.

Suggested Citation

  • Michael T. Knierim & Raphael Rissler & Anuja Hariharan & Mario Nadj & Christof Weinhardt, 2019. "Exploring Flow Psychophysiology in Knowledge Work," Lecture Notes in Information Systems and Organization, in: Fred D. Davis & René Riedl & Jan vom Brocke & Pierre-Majorique Léger & Adriane B. Randolph (ed.), Information Systems and Neuroscience, pages 239-249, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-01087-4_29
    DOI: 10.1007/978-3-030-01087-4_29
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    Cited by:

    1. Simon Kloker, 0. "Non-addictive Information Systems," Information Systems Frontiers, Springer, vol. 0, pages 1-14.
    2. Simon Kloker, 2020. "Non-addictive Information Systems," Information Systems Frontiers, Springer, vol. 22(3), pages 549-562, June.

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