Information Systems and Neuroscience

NeuroIS Retreat 2026, Vienna, Austria
Erscheinungsjahr 2026
ISBN: 978-3-032-39587-0
Verlag: Springer

Buch, Englisch, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Information Systems and Organisation

This book presents the proceedings of the NeuroIS Retreat 2026, June 2–4, 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.

Zielgruppe

Research

Autoren/Hrsg.

Davis, Fred D.

Riedl, René

vom Brocke, Jan

Léger, Pierre-Majorique

Randolph, Adriane B.

Müller-Putz, Gernot R.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
• Sozialwissenschaften Psychologie Allgemeine Psychologie Biologische Psychologie, Neuropsychologie
• Interdisziplinäres Wissenschaften Wissenschaften Interdisziplinär Neurowissenschaften, Kognitionswissenschaft

Inhaltsverzeichnis

.

            Assessing task load using functional near infrared spectroscopy.- The influence of breathing brain and heart activity during motor execution.- Brain speaks louder than words: neurophysiological opinion inference via cognitive dissonance triggers.- The neural recruiter: a research proposal for evaluating human-genai dynamics in high-stakes decision-making.- Beyond single metrics: validating composite indicators for physiological and cognitive user experience research.- Recovery of physiological videoconferencing fatigue: an expectancy-violations perspective.- Human vs. automated feedback: a study on the dissociation between physiological activation and cognitive self-focus.- Gastric myoelectrical dynamics during experimentally induced affective and cognitive states.- The autism-it linkage: a neurois research agenda for sociocognitive and auditory processing.- Reflective and impulsive genai use in workplace tasks: proposal for an eye-tracking study of adults with adhd.- How work feels: affective responses to real-effort tasks.- I don’t really care: how generative ai use shapes affective reactions to feedback on work outcomes.- Generative artificial intelligence–enabled cognitive offloading: effects on task performance and skill development.- Neurodiversity and technostress: towards a multimodal research design for evaluating subjective, physiological, and behavioral responses.- Brain–body responses to workplace discrimination in the context of inclusive decision-making.- Towards mental fatigue-adaptive systems: a pilot interview study.- Framing bias and financial auditor behavior: an eye-tracking perspective.- From experience to biomarkers: surveying neurophysiological measures and correlates of flow.- Toward multimodal attention detection in virtual reality lectures: combining ear-eeg and eye tracking.- Panoptic oversight and critical thinking in ai-assisted professional decision-making: a neurois work-in-progress study.- Empathic displacement in algorithmic decision-making: a neurois study.- Neural uncertainty monitoring during repeated genai interaction: a pilot eeg study using frontal theta power.- Beyond productivity: cognitive and neurophysiological implications of generative ai in knowledge work.- Exploring the impact of the gestalt laws of proximity and similarity: a neurois study in the e-commerce context.- Autistic traits, executive functions, and burnout in it professionals.- neurophysiological correlates of flow: a systematic review based on csikszentmihalyi’s flow theory.- Ai-assisted learning of integrated business processes in sap: a proposed eye-tracking study of cognitive engagement strategies.- Stacking ctml principles in video lessons: a multimodal feasibility case-series (eye, facial, gsr) and early steps toward a neuroadaptive learning system.- What shall artificial intelligence recognize when programmed for the purpose of emotion recognition?.- The slow drift of alpha/mu rhythms during sustained motor engagement.- Neurophysiological signatures of llm hallucinations and their emotional impact on student performance: a research-in-progress study.- Investigating reliance on artificial intelligence through adaptive eye-tracking: a conceptual paper and research agenda.

Über Autor(innen)

Fred D. Davis is Professor and Bobby G. Stevenson Chair in Information Technology at Texas Tech University, Lubbock, Texas, USA.

René Riedl is 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 Professor and Chair of Information Systems & Business Process Management at the University of Münster and Director of ERCIS—The European Research Center for Information Systems, Germany.

Pierre-Majorique Léger is Professor in the Department of Information Technologies at HEC Montréal, Québec, Canada, Director of the ERPsim Lab and Co-Director of the Tech3Lab.

Adriane B. Randolph is 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.

Gernot Müller-Putz is 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.