Analysis of Heart Rate Variability (HRV) Feature Robustness for Measuring Technostress

David Baumgartner, Thomas Fischer, René Riedl, Stephan Dreiseitl

Publikation: Beitrag in Buch/Bericht/TagungsbandKapitelBegutachtung

8 Zitate (Scopus)

Abstract

Technostress has become an important topic in the scientific literature, particularly in Information Systems (IS) research. Heart rate variability (HRV) has been proposed as a measure of (techno)stress and is widely used in scientific investigations. The objective of the pilot study reported in this paper is to showcase how the preprocessing/cleaning of captured data can influence the results and their interpretation, when compared to self-report data. The evidence reported in this paper supports the notion that NeuroIS scholars have to deliberately make methodological decisions such as those related to preprocessing of physiological data. It is therefore crucial that methodological details are presented in NeuroIS papers in order to create a better understanding of the study results and their implications.

OriginalspracheEnglisch
TitelLecture Notes in Information Systems and Organisation
Herausgeber (Verlag)Springer
Seiten221-228
Seitenumfang8
DOIs
PublikationsstatusVeröffentlicht - 2019
VeranstaltungNeuroIS Retreat 2018 - Vienna, Österreich
Dauer: 19 Jun 201821 Jun 2018
http://www.neurois.org

Publikationsreihe

NameLecture Notes in Information Systems and Organisation
Band29
ISSN (Print)2195-4968
ISSN (elektronisch)2195-4976

Konferenz

KonferenzNeuroIS Retreat 2018
Land/GebietÖsterreich
OrtVienna
Zeitraum19.06.201821.06.2018
Internetadresse

Fingerprint

Untersuchen Sie die Forschungsthemen von „Analysis of Heart Rate Variability (HRV) Feature Robustness for Measuring Technostress“. Zusammen bilden sie einen einzigartigen Fingerprint.

Zitieren