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Measurement of Heart Rate and Heart Rate Variability in NeuroIS Research: Review of Empirical Results

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

Heart rate (HR) and heart rate variability (HRV) measurements are important indicators of an individual´s physiological state. In Neuro-Information-Systems (NeuroIS) research, these physiological parameters can be used to measure autonomic nervous system (ANS) activity, contributing to a better understanding of cognitive and affective processes in the Information Systems (IS) discipline. Based on a previous systematic literature analysis (Stangl and Riedl, 2022 [1]), in the present paper we review the major empirical results of NeuroIS research based on HR and HRV measurement. Thus, this review provides insights to advance the field from an empirically grounded perspective.

Suggested Citation

  • Fabian J. Stangl & René Riedl, 2022. "Measurement of Heart Rate and Heart Rate Variability in NeuroIS Research: Review of Empirical Results," 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 285-299, Springer.
    • Handle: RePEc:spr:lnichp:978-3-031-13064-9_29
    DOI: 10.1007/978-3-031-13064-9_29
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