EconPapers    
Economics at your fingertips  
 

Information Systems and Neuroscience

Edited by Fred D. Davis (), René Riedl (), Jan vom Brocke (), Pierre-Majorique Léger (), Adriane B. Randolph () and Gernot R. Müller-Putz ()

in Lecture Notes in Information Systems and Organization from Springer, currently edited by Richard Baskerville, Marco De Marco, Nancy Pouloudi, Paolo Spagnoletti, Dov Te'eni, Jan vom Brocke and Robert Winter

Date: 2025
ISBN: 978-3-031-71385-9
References: Add references at CitEc
Citations:

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

Chapters in this book:

Generative AI Review Summaries and Their Impact on Ambivalence and User Behavior: An Eye-Tracking Study
Tucker Nicholas Todd, Akshat Lakhiwal, Hillol Bala, Pierre-Majorique Léger, Ikram El Kamouni and Jared Boasen
Offloading to Digital Minds: How Generative AI Can Help to Craft Jobs
Eva Ritz, Leonie Rebecca Freise and Mahei Manhei Li
Deciphering User Gaze Dynamics: Interacting an AI-Driven Platform with a Chatbot for Problem Solving
Jonathan Fu
Pictures or It didn’t Happen! How the Use of the Generative AI Images Impacts the Perceived Believability of News Headlines
Lotte Lie Duestad, Hanne Celine Foss, Jeno Toth and Rob Gleasure
Trust and Compliance in Financial Services: A Comparative Study of Human-Led Versus AI-Led Teams Using Behavioral and Neuroscientific Measures
Asli Gul Kurt, Sylvain Sénécal, Pierre-Majorique Légér, Jared Boasen, Ruxandra Monica Luca, Yany Grégoire, Muhammad Aljukhadar, Constantinos Coursaris and Marc Fredette
Autonomic Nervous System Activity Measurements in the Research Field of Interruption Science: Insights into Applied Methods
Fabian J. Stangl and René Riedl
Brain Imaging Methods in the Research Field of Interruption Science: An Analysis of Applied Methods
Fabian J. Stangl and René Riedl
Hormone Measurements in the Research Field of Interruption Science: Review of Applied Methods
Fabian J. Stangl and René Riedl
Investigating the Impact of Fluency Manipulations on Belief in Fake News on Social Media Platforms
Rana Ali Adeeb and Mahdi Mirhoseini
Can Mind Wandering Be Measured Using the Unicorn Hybrid Black? A Pilot Study
Jenna Beresford and Colin Conrad
The Effects of Confirmation Bias and Readability on Relevance Assessment: An Eye-Tracking Study
Li Shi and Jacek Gwizdka
Recruitment and EDI Challenges in NeuroIS Research: A Case for Mobile Research Infrastructure
Nour El Shamy, Khaled Hassanein and Milena Head
XAI-Supported Decision-Making: Insights from NeuroIS Studies for a User Perspective
Yulia Litvinova and Ksenia Keplinger
Identifying Neural Correlates of Motor Learning in a Naturalistic VR-Based Motor Task
Alexanne Grandpré, Félix Giroux, Camille Lasbareilles, Jared Boasen, Alexander Aumais, Adrien Lesage, François Courtemanche, Charlotte Stagg, Sylvain Sénécal and Pierre-Majorique Léger
Causality Analysis on Performance Differences in Comprehension of Business Process Representations
John Krogstie and Kshitij Sharma
Neurophysiological Data Collection at the Digital Workplace
Till Bieg, Cornelia Gerdenitsch, Philip Schörpf, Anice Jahanjoo and Nima Taherinejad
From Peaks to Preferences: Exploring Skin Conductance in Online Hotel Selection Decisions—A Neurophysiological Investigation
Stefan Eibl, Thomas Kalischko and Andreas Auinger
HUBII 2.0—Towards an Open Hub for Human Biosignal Intelligence
Elias Müller, Ivo Benke and Alexander Maedche
EEG Theta/Beta Ratio Variability in Relation to Attachment Style in the Context of Secretary Problem
Dor Mizrahi, Ilan Laufer and Inon Zuckerman
Emotion, Gaming, and Well-Being: Integrating Neurophysiological Data with Self-Reports
Rosemary Tufon, Adriane B. Randolph, Maria Valero and Valentina Nino
Designing Gaze-Adaptive Visualizations of Mutual Gaze for Video Meetings
Tom Frank Reuscher, Julia Seitz, Anke Greif-Winzrieth, Moritz Langner, Konstantin Soballa, Alexander Maedche and Petra Nieken
Cycle-Sensitive Knowledge Work? A NeuroIS Study Proposal for Improving Female Workers’ Task Management
Alina Bockshecker, Anika Nissen and Stefan Smolnik
The Efficacy of Hyper-Realistic Avatars as a Communication Channel
Jill Schiefelbein, Robert Hammond and Alan Hevner
Implicit Human Feedback for Large Language Models: A Passive-Brain Computer Interfaces Study Proposal
Diana E. Gherman and Thorsten O. Zander
The Heart of Effort: Revealing Heart Rate Patterns in Real-Effort Tasks
Anke Greif-Winzrieth, Verena Dorner, Johannes Könemann and Gerlinde Fellner-Röhling
Deep Fakes and Political Attitudes: An Analysis of Confirmation Bias and Cognitive Dissonance Using Neurophysiological Measurements
Jörg Ebner, Bernhard Lutz and Dirk Neumann
The Mechanisms of Attention and Decision-Making: A Neuroscience-Informed Heuristic Framework for the Design of Digital Choice Architectures
Jan M. Enkmann, Vincent Beermann, Peter N. C. Mohr and Falk Uebernickel
A Cognitive Load-Adaptive Microbreak Intervention in Video Meeting Systems: First Results from a DSR Project
Chiara Krisam, Julia Seitz, Michael T. Knierim and Alexander Maedche
Comparing the Visual Processing of Words and Icons for Functional Illiterates in an Online Banking Context
Adrian Minano-Lozano, Jared Boasen, Yasmine Maurice, Constantinos Coursaris, Sylvain Sénécal and Pierre-Majorique Léger
Smishing: Exploring How Different Persuasion Techniques Influence Users Emotions, Cognitions, and Identification Accuracy
Nour El Shamy, Wei Xie and Chen Zhong
How Generative-AI-Assistance Impacts Cognitive Load During Knowledge Work: A Study Proposal
Thimo Schulz, Michael Thomas Knierim and Christof Weinhardt
How Women’s Engagement with Instagram Posts that Use Edited Images Impacts Their Self-Esteem and Body Perception
Angelika Uta Kensy Tziatziou and Rob Gleasure
Single-Trial Economic Decision Classification with Passive BCIs: A Pilot Study
Fabio Stano, Niels Doehring, Michael Thomas Knierim and Christof Weinhardt
Predicting User Satisfaction and Recommendation Intentions: A Machine Learning Approach Using Psychophysiological and Self-Reported Data
Victoria Oluwakemi Okesipe, Théophile Demazure, Jasmine Labelle, Chenyi Huang, Sylvain Sénécal, Marc Fredette, Romain Pourchon, Constantinos K. Coursaris, Alexander J. Karran, Shang Lin Chen and Pierre-Majorique Léger
Neurophysiological Approaches for Understanding Information Seeking Behavior: A NeuroIS 2024 Panel
Jacek Gwizdka, Javed Mostafa, Yashar Moshfeghi and Jan vom Brocke

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:lniiso:978-3-031-71385-9

Ordering information: This item can be ordered from
http://www.springer.com/9783031713859

DOI: 10.1007/978-3-031-71385-9

Access Statistics for this book

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

 
Page updated 2025-06-15
Handle: RePEc:spr:lniiso:978-3-031-71385-9