Brain Imaging Methods in the Research Field of Interruption Science: An Analysis of Applied Methods

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

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

Abstract

The application of brain imaging methods can provide invaluable insights into the neural substrates of human cognition, emotion, behavior, and performance, thereby facilitating a profound understanding of information processing in the context of Neuro-Information Systems (NeuroIS). In this paper, we aim to pave the way for future research efforts by detailing the applicability of such methods in the research field of interruption science. Building on a previous review of neurophysiological measurements in interruption science, we focus on the methodological aspects of the identified papers. Specifically, we provide an overview of how brain imaging methods can be used in interruption science by providing an overview of the applied brain imaging methods and their measurement purpose. We also describe one example study used in the domains of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) 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
Pages71-93
Number of pages23
ISBN (Print)978-3-031-71384-2
DOIs
Publication statusPublished - Mar 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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