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

Fabian J. Stangl () and René Riedl ()
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Fabian J. Stangl: University of Applied Sciences Upper Austria
René Riedl: University of Applied Sciences Upper Austria

A chapter in Information Systems and Neuroscience, 2022, pp 285-299 from Springer

Abstract: 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 (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-031-13064-9_29

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

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