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

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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.
Original languageEnglish
Title of host publicationInformation Systems and Neuroscience: NeuroIS Retreat 2022
EditorsFred D. Davis, René Riedl, Jan vom Brocke, Pierre-Majorique Léger, Adriane B. Randolph, Gernot R. Müller-Putz
Place of PublicationCham
Number of pages15
ISBN (Electronic)978-3-031-13064-9
ISBN (Print)978-3-031-13063-2
Publication statusPublished - 3 Dec 2022
EventNeuroIS Retreat 2022 - Schlosshotel Wilhelminenberg, Wien, Austria
Duration: 14 Jun 202216 Jun 2022

Publication series

NameLecture Notes in Information Systems and Organisation
ISSN (Print)2195-4968
ISSN (Electronic)2195-4976


ConferenceNeuroIS Retreat 2022
Internet address


  • Heart Rate (HR)
  • Heart Rate Variability (HRV)
  • NeuroIS
  • Autonomic Nervous System (ANS)
  • Empirical Studies


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