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

Fabian Josef Stangl; René Riedl

doi:10.1007/978-3-031-13064-9_29

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

Fabian Josef Stangl, René Riedl

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

7 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 language	English
Title of host publication	Information Systems and Neuroscience: NeuroIS Retreat 2022
Editors	Fred D. Davis, René Riedl, Jan vom Brocke, Pierre-Majorique Léger, Adriane B. Randolph, Gernot R. Müller-Putz
Place of Publication	Cham
Publisher	Springer
Pages	285-299
Number of pages	15
ISBN (Electronic)	978-3-031-13064-9
ISBN (Print)	978-3-031-13063-2
DOIs	https://doi.org/10.1007/978-3-031-13064-9_29
Publication status	Published - 3 Dec 2022
Event	NeuroIS Retreat 2022 - Schlosshotel Wilhelminenberg, Wien, Austria Duration: 14 Jun 2022 → 16 Jun 2022 http://www.neurois.org/neurois-retreat-2022/

Publication series

Name	Lecture Notes in Information Systems and Organisation
Volume	58
ISSN (Print)	2195-4968
ISSN (Electronic)	2195-4976

Conference

Conference	NeuroIS Retreat 2022
Country/Territory	Austria
City	Wien
Period	14.06.2022 → 16.06.2022
Internet address	http://www.neurois.org/neurois-retreat-2022/

Keywords

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

Access to Document

10.1007/978-3-031-13064-9_29

Cite this

Stangl, F. J., & Riedl, R. (2022). Measurement of Heart Rate and Heart Rate Variability in NeuroIS Research: Review of Empirical Results. In F. D. Davis, R. Riedl, J. vom Brocke, P.-M. Léger, A. B. Randolph, & G. R. Müller-Putz (Eds.), Information Systems and Neuroscience: NeuroIS Retreat 2022 (pp. 285-299). (Lecture Notes in Information Systems and Organisation; Vol. 58). Springer. https://doi.org/10.1007/978-3-031-13064-9_29

Stangl, Fabian Josef ; Riedl, René. / Measurement of Heart Rate and Heart Rate Variability in NeuroIS Research: Review of Empirical Results. Information Systems and Neuroscience: NeuroIS Retreat 2022. editor / Fred D. Davis ; René Riedl ; Jan vom Brocke ; Pierre-Majorique Léger ; Adriane B. Randolph ; Gernot R. Müller-Putz. Cham : Springer, 2022. pp. 285-299 (Lecture Notes in Information Systems and Organisation).

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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.",

keywords = "Heart Rate (HR), Heart Rate Variability (HRV), NeuroIS, Autonomic Nervous System (ANS), Empirical Studies",

author = "Stangl, {Fabian Josef} and Ren{\'e} Riedl",

note = "Funding Information: This research was funded by the Austrian Science Fund (FWF) as part of the project “Technostress in Organizations” (project number: P 30865) at the University of Applied Sciences Upper Austria. Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; NeuroIS Retreat 2022 ; Conference date: 14-06-2022 Through 16-06-2022",

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doi = "10.1007/978-3-031-13064-9_29",

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Stangl, FJ & Riedl, R 2022, Measurement of Heart Rate and Heart Rate Variability in NeuroIS Research: Review of Empirical Results. in FD Davis, R Riedl, J vom Brocke, P-M Léger, AB Randolph & GR Müller-Putz (eds), Information Systems and Neuroscience: NeuroIS Retreat 2022. Lecture Notes in Information Systems and Organisation, vol. 58, Springer, Cham, pp. 285-299, NeuroIS Retreat 2022, Wien, Austria, 14.06.2022. https://doi.org/10.1007/978-3-031-13064-9_29

Measurement of Heart Rate and Heart Rate Variability in NeuroIS Research: Review of Empirical Results. / Stangl, Fabian Josef ; Riedl, René.
Information Systems and Neuroscience: NeuroIS Retreat 2022. ed. / Fred D. Davis; René Riedl; Jan vom Brocke; Pierre-Majorique Léger; Adriane B. Randolph; Gernot R. Müller-Putz. Cham: Springer, 2022. p. 285-299 (Lecture Notes in Information Systems and Organisation; Vol. 58).

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

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AU - Riedl, René

N1 - Funding Information: This research was funded by the Austrian Science Fund (FWF) as part of the project “Technostress in Organizations” (project number: P 30865) at the University of Applied Sciences Upper Austria. Publisher Copyright: © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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Y1 - 2022/12/3

N2 - 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.

AB - 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.

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BT - Information Systems and Neuroscience: NeuroIS Retreat 2022

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PB - Springer

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ER -

Stangl FJ , Riedl R. Measurement of Heart Rate and Heart Rate Variability in NeuroIS Research: Review of Empirical Results. In Davis FD, Riedl R, vom Brocke J, Léger PM, Randolph AB, Müller-Putz GR, editors, Information Systems and Neuroscience: NeuroIS Retreat 2022. Cham: Springer. 2022. p. 285-299. (Lecture Notes in Information Systems and Organisation). doi: 10.1007/978-3-031-13064-9_29

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

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Technostress in Organizations

Cite this

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

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

Technostress in Organizations

Cite this