Information Systems and Neuroscience

1. Front Matter

   Pages i-xviii

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2. Our Brain Reads, While We Can’t: EEG Reveals Word-Specific Brain Activity in the Absence of Word Recognition

   • Peter Walla, Robin Leybourne, Samuil Pavlevchev

   Pages 1-7

3. Information Overload and Argumentation Changes in Product Reviews: Evidence from NeuroIS

   • Florian Popp, Bernhard Lutz, Dirk Neumann

   Pages 9-21

4. Flow in Knowledge Work: An Initial Evaluation of Flow Psychophysiology Across Three Cognitive Tasks

   • Karen Bartholomeyczik, Michael Thomas Knierim, Petra Nieken, Julia Seitz, Fabio Stano, Christof Weinhardt

   Pages 23-33

5. Biosignal-Based Recognition of Cognitive Load: A Systematic Review of Public Datasets and Classifiers

   • Julia Seitz, Alexander Maedche

   Pages 35-52

6. Enhancing Wireless Non-invasive Brain-Computer Interfaces with an Encoder/Decoder Machine Learning Model Pair

   • Ernst R. Fanfan, Joe Blankenship, Sumit Chakravarty, Adriane B. Randolph

   Pages 53-59

7. How Does the Content of Crowdfunding Campaign Pictures Impact Donations for Cancer Treatment

   • Andreas Blicher, Rob Gleasure, Ioanna Constantiou, Jesper Clement

   Pages 61-71

8. All Eyes on Misinformation and Social Media Consumption: A Pupil Dilation Study

   • Mahdi Mirhoseini, Spencer Early, Khaled Hassanein

   Pages 73-80

9. Increased Audiovisual Immersion Associated with Mirror Neuron System Enhancement Following High Fidelity Vibrokinetic Stimulation

   • Kajamathy Subramaniam, Jared Boasen, Félix Giroux, Sylvain Sénécal, Pierre-Majorique Léger, Michel Paquette

   Pages 81-88

10. Recognizing Polychronic-Monochronic Tendency of Individuals Using Eye Tracking and Machine Learning

    • Simon Barth, Moritz Langner, Peyman Toreini, Alexander Maedche

    Pages 89-96

11. The Effect of SVO Category on Theta/Alpha Ratio Distribution in Resource Allocation Tasks

    • Dor Mizrahi, Ilan Laufer, Inon Zuckerman

    Pages 97-104

12. Is Our Ability to Detect Errors an Indicator of Mind Wandering? An Experiment Proposal

    • Colin Conrad, Michael Klesel, Kydra Mayhew, Kiera O’Neil, Frederike Marie Oschinsky, Francesco Usai

    Pages 105-112

13. Resolving the Paradoxical Effect of Human-Like Typing Errors by Conversational Agents

    • R. Stefan Greulich, Alfred Benedikt Brendel

    Pages 113-122

14. The View of Participants on the Potential of Conducting NeuroIS Studies in the Wild

    • Anke Greif-Winzrieth, Christian Peukert, Peyman Toreini, Christof Weinhardt

    Pages 123-131

15. Emoticons Elicit Similar Patterns of Brain Activity to Those Elicited by Faces: An EEG Study

    • Alessandra Flöck, Marc Mehu

    Pages 133-145

16. Facilitating NeuroIS Research Using Natural Language Processing: Towards Automated Recommendations

    • Nevena Nikolajevic, Michael T. Knierim, Christof Weinhardt

    Pages 147-154

17. CareCam: An Intelligent, Camera-Based Health Companion at the Workplace

    • Dimitri Kraft, Angelina Schmidt, Frederike Marie Oschinsky, Lea Büttner, Fabienne Lambusch, Kristof Van Laerhoven et al.

    Pages 155-161

18. Decision Delegation and Intelligent Agents in the Context of Human Resources Management: The Influence of Agency and Trust. A Research Proposal

    • Marion Korosec-Serfaty, Sylvain Sénécal, Pierre-Majorique Léger

    Pages 163-170

19. A Stress-Based Smart Retail Service in Shopping Environments: An Adoption Study

    • Nurten Öksüz

    Pages 171-178

20. Collecting Longitudinal Psychophysiological Data in Remote Settings: A Feasibility Study

    • Sara-Maude Poirier, Félix Giroux, Pierre-Majorique Léger, Frédérique Bouvier, David Brieugne, Shang-Lin Chen et al.

    Pages 179-186

This book presents the proceedings of the NeuroIS Retreat 2022, June 14-16, Vienna, Austria, reporting on topics at the intersection of information systems (IS) research, neurophysiology and the brain sciences. Readers will discover the latest findings from top scholars in the field of NeuroIS, which offer detailed insights on the neurobiology underlying IS behavior, essential methods and tools and their applications for IS, as well as the application of neuroscience and neurophysiological theories to advance IS theory.

• Computer Science
• Informatics
• Conference Proceedings
• Research
• Applications
• Neuropsychology
• Computational Neuroscience
• Brain-computer interfaces
• Machine Learning
• Eye-tracking
• Intelligent agents
• Smart manufacturing
• Recommender systems
• Augmented Reality
• Mind wandering
• Neuro-adaptive systems
• Neurophysiological tools
• Cognitive impairment
• Mirror neuro system
• Conversational agents

• Information Technology Division, Texas Tech University, Lubbock, USA

  Fred D. Davis

• Digital Business Institute, University of Applied Sciences Upper Austria, Steyr, Austria

  René Riedl

• Department of Information Systems, University of Liechtenstein, Vaduz, Liechtenstein

  Jan vom Brocke

• Department of Information Technologies, HEC Montreal, Montréal, Canada

  Pierre-Majorique Léger

• Department of Information Systems and Security, Kennesaw State University, Kennesaw, USA

  Adriane B. Randolph

• Institute of Neural Engineering, Graz University of Technology, Graz, Austria

  Gernot R. Müller-Putz

Fred D. Davis is Professor and Bobby G. Stevenson Chair in Information Technology at Texas Tech University, Lubbock, Texas, USA. 
René Riedl is a Professor of Digital Business and Innovation at the University of Applied Sciences Upper Austria and an Associate Professor for Business Informatics at the University of Linz, Austria.
 
Jan vom Brocke is a Professor of Information Systems at the University of Liechtenstein, Hilti Chair of Business Process Management and Director of the Institute of Information Systems.


Adriane B. Randolph is a Professor of Information Systems in the Michael J. Coles College of Business at Kennesaw State University (KSU), Georgia, USA, and Executive Director of the KSU BrainLab.
 
Pierre-Majorique Léger is a Professor in the Department of Information Technologies at HEC Montréal, Québec, Canada, Director of the ERPsim Lab and Co-Director of the Tech3Lab.
 

Gernot Müller-Putz is a Professor of Semantic Data Analysis and head of the Institute of Neural Engineering and its associated Laboratory of Brain-Computer Interfaces at Graz University of Technoloy, Austria.

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