IDEAS home Printed from https://ideas.repec.org/h/spr/lnichp/978-3-319-67431-5_13.html
   My bibliography  Save this book chapter

The Psychophysiology of Flow: A Systematic Review of Peripheral Nervous System Features

In: Information Systems and Neuroscience

Author

Listed:
  • Michael T. Knierim

    (Karlsruhe Institute of Technology (KIT), Institute of Information Systems and Marketing (IISM))

  • Raphael Rissler

    (Karlsruhe Institute of Technology (KIT), Institute of Information Systems and Marketing (IISM)
    SAP SE)

  • Verena Dorner

    (Karlsruhe Institute of Technology (KIT), Institute of Information Systems and Marketing (IISM))

  • Alexander Maedche

    (Karlsruhe Institute of Technology (KIT), Institute of Information Systems and Marketing (IISM))

  • Christof Weinhardt

    (Karlsruhe Institute of Technology (KIT), Institute of Information Systems and Marketing (IISM))

Abstract

As information systems (IS) are increasingly able to induce highly engaging and interactive experiences, the phenomenon of flow is considered a promising vehicle to understand IS user behavior and to ultimately inform the design of flow-fostering IS. However, despite growing interest of researchers in the phenomenon, knowledge about how to continuously assess flow during IS usage is limited. Hereby, recent developments in NeuroIS and psychophysiology propose novel possibilities to overcome this limitation. This article presents the results of a systematic literature review (SLR) on peripheral nervous system indicators of flow. The findings revealed that currently four major approaches exist towards physiological measurement. Propositions for simple and unobtrusive measurement in IS research are derived in conclusion.

Suggested Citation

  • Michael T. Knierim & Raphael Rissler & Verena Dorner & Alexander Maedche & Christof Weinhardt, 2018. "The Psychophysiology of Flow: A Systematic Review of Peripheral Nervous System Features," 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 109-120, Springer.
    • Handle: RePEc:spr:lnichp:978-3-319-67431-5_13
    DOI: 10.1007/978-3-319-67431-5_13
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Camille Tordet & Séverine Erhel & Eric Wodey & Eric Jamet & Nicolas Nardi & Corentin Gonthier, 2021. "The Flow Observational Grid: an Observation-Based Solution to Assess Flow States," Journal of Happiness Studies, Springer, vol. 22(7), pages 3069-3089, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:lnichp:978-3-319-67431-5_13. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.