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Measurement of Heart Rate and Heart Rate Variability: A Review of NeuroIS Research with a Focus on Applied Methods

In: Information Systems and Neuroscience

Author

Listed:
  • Fabian J. Stangl

    (University of Applied Sciences Upper Austria)

  • René Riedl

    (University of Applied Sciences Upper Austria
    Johannes Kepler University Linz)

Abstract

Neuro-Information-Systems (NeuroIS) research contributes to a better understanding of cognitive and affective processes related to the development, adoption, and use of digital technologies. Among others, heart rate (HR) and heart rate variability (HRV) can be used to measure physiological states—more specifically, autonomic nervous system (ANS) activity. Based on a previous systematic literature review in which we surveyed the existing NeuroIS literature on HR and HRV (Stangl and Riedl, 2022 [1]), in the current paper we review completed empirical studies with a focus on the papers’ methodological aspects. Thus, this review provides methodological insights to advance the research on HR and HRV with a focus on NeuroIS research.

Suggested Citation

  • Fabian J. Stangl & René Riedl, 2022. "Measurement of Heart Rate and Heart Rate Variability: A Review of NeuroIS Research with a Focus on Applied Methods," Lecture Notes in Information Systems and Organization, in: Fred D. Davis & René Riedl & Jan vom Brocke & Pierre-Majorique Léger & Adriane B. Randolph & Gernot (ed.), Information Systems and Neuroscience, pages 269-283, Springer.
    • Handle: RePEc:spr:lnichp:978-3-031-13064-9_28
    DOI: 10.1007/978-3-031-13064-9_28
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