IDEAS home Printed from https://ideas.repec.org/h/spr/lnichp/978-3-030-01087-4_27.html
   My bibliography  Save this book chapter

Analysis of Heart Rate Variability (HRV) Feature Robustness for Measuring Technostress

In: Information Systems and Neuroscience

Author

Listed:
  • David Baumgartner

    (University of Applied Sciences Upper Austria)

  • Thomas Fischer

    (University of Applied Sciences Upper Austria)

  • René Riedl

    (University of Applied Sciences Upper Austria
    Johannes Kepler University)

  • Stephan Dreiseitl

    (University of Applied Sciences Upper Austria)

Abstract

Technostress has become an important topic in the scientific literature, particularly in Information Systems (IS) research. Heart rate variability (HRV) has been proposed as a measure of (techno)stress and is widely used in scientific investigations. The objective of the pilot study reported in this paper is to showcase how the preprocessing/cleaning of captured data can influence the results and their interpretation, when compared to self-report data. The evidence reported in this paper supports the notion that NeuroIS scholars have to deliberately make methodological decisions such as those related to preprocessing of physiological data. It is therefore crucial that methodological details are presented in NeuroIS papers in order to create a better understanding of the study results and their implications.

Suggested Citation

  • David Baumgartner & Thomas Fischer & René Riedl & Stephan Dreiseitl, 2019. "Analysis of Heart Rate Variability (HRV) Feature Robustness for Measuring Technostress," 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 221-228, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-01087-4_27
    DOI: 10.1007/978-3-030-01087-4_27
    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. Marc Schlömmer & Teresa Spieß & Stephan Schlögl, 2021. "Leaderboard Positions and Stress—Experimental Investigations into an Element of Gamification," Sustainability, MDPI, vol. 13(12), pages 1-20, June.

    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:978-3-030-01087-4_27. 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.