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

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

2 Citations (Scopus)

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.
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
PublisherSpringer
Pages285-299
Number of pages15
ISBN (Electronic)978-3-031-13064-9
ISBN (Print)978-3-031-13063-2
DOIs
Publication statusPublished - 3 Dec 2022
EventNeuroIS Retreat 2022 - Schlosshotel Wilhelminenberg, Wien, Austria
Duration: 14 Jun 202216 Jun 2022
http://www.neurois.org/neurois-retreat-2022/

Publication series

NameLecture Notes in Information Systems and Organisation
Volume58
ISSN (Print)2195-4968
ISSN (Electronic)2195-4976

Conference

ConferenceNeuroIS Retreat 2022
Country/TerritoryAustria
CityWien
Period14.06.202216.06.2022
Internet address

Keywords

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

Fingerprint

Dive into the research topics of 'Measurement of Heart Rate and Heart Rate Variability in NeuroIS Research: Review of Empirical Results'. Together they form a unique fingerprint.

Cite this