Hormone Measurements in the Research Field of Interruption Science: Review of Applied Methods

  • Fabian Josef Stangl*
  • , René Riedl
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

Hormone measurements can serve as crucial indicators for assessing an individual's physiological state in the context of Neuro-Information Systems (NeuroIS). Understanding hormonal responses to interruptions can provide insights into human cognition, emotion, behavior, and performance. By analyzing hormone levels, researchers can measure the effect of interruptions on an individual's physiological processes, including performance in social interactions or performance in human-computer interaction situations. Building on a previous umbrella review of neurophysiological measurements in interruption science, in the current paper we review completed empirical studies with a focus on the methodological aspects of the hormone measurements in the papers. Specifically, to lay a foundation for future research activities, we describe identified studies that applied hormone measurements with saliva or urine samples by detailing the following factors: research objective, research method, sample size, study population, and research results.
Original languageEnglish
Title of host publicationInformation Systems and Neuroscience: NeuroIS Retreat 2024, Vienna, Austria
EditorsFred D. Davis, René Riedl, Jan vom Brocke, Pierre-Majorique Léger, Adriane B. Randolph, Gernot R. Müller-Putz
Place of PublicationGermany
PublisherSpringer
Pages95-114
Number of pages20
Edition1
ISBN (Print)978-3-031-71384-2
DOIs
Publication statusPublished - 2025

Publication series

NameLecture Notes in Information Systems and Organisation
PublisherSpringer

Fields of science

  • 509004 Evaluation research
  • 502007 E-commerce
  • 502050 Business informatics
  • 301401 Brain research
  • 503008 E-learning
  • 502058 Digital transformation
  • 509026 Digitalisation research
  • 303026 Public health
  • 102 Computer Sciences
  • 502032 Quality management
  • 501016 Educational psychology
  • 602036 Neurolinguistics
  • 502030 Project management
  • 502014 Innovation research
  • 102006 Computer supported cooperative work (CSCW)
  • 502044 Business management
  • 502043 Business consultancy
  • 102016 IT security
  • 301407 Neurophysiology
  • 102015 Information systems
  • 501030 Cognitive science
  • 305909 Stress research

JKU Focus areas

  • Digital Transformation

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