Measurement of Heart Rate and Heart Rate Variability: A Review of NeuroIS Research with a Focus on Applied Methods

Fabian J. Stangl () and René Riedl ()
Additional contact information
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 269-283 from Springer

Abstract: Abstract Neuro-Information-Systems (NeuroIS) research contributes to a better understanding of cognitive and affective processes related to the development, adoption, and use of digital technologies. Among others, heart rate (HR) and heart rate variability (HRV) can be used to measure physiological states—more specifically, autonomic nervous system (ANS) activity. Based on a previous systematic literature review in which we surveyed the existing NeuroIS literature on HR and HRV (Stangl and Riedl, 2022 [1]), in the current paper we review completed empirical studies with a focus on the papers’ methodological aspects. Thus, this review provides methodological insights to advance the research on HR and HRV with a focus on NeuroIS research.

Keywords: Heart rate (HR); Heart rate variability (HRV); NeuroIS; Methodological practices; Methodological review (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-031-13064-9_28

Ordering information: This item can be ordered from
http://www.springer.com/9783031130649

DOI: 10.1007/978-3-031-13064-9_28

Access Statistics for this chapter

More chapters in Lecture Notes in Information Systems and Organization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().