Information Systems and Neuroscience : NeuroIS Retreat 2024, Vienna, Austria / edited by Fred D. Davis, René Riedl, Jan vom Brocke, Pierre-Majorique Léger, Adriane B. Randolph, Gernot R. Müller-Putz

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(16. : NeuroIS Retreat (16. : 2024 : Wien) [VerfasserIn]

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Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Lecture Notes in Information Systems and Organisation ; 66Verlag: Cham : Springer Nature Switzerland, 2025Verlag: Cham : Imprint: Springer, 2025Beschreibung: 1 Online-Ressource (XIX, 404 p. 59 illus., 48 illus. in color.)ISBN:

9783031713859

Schlagwörter: Genre/Form:

Konferenzschrift

Andere physische Formen: 9783031713842 | 9783031713866 | Erscheint auch als: 9783031713842 Druck-Ausgabe | Erscheint auch als: 9783031713866 Druck-AusgabeDDC-Klassifikation:

658.4038 23

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

Zugang im Netz des KIT

Zusammenfassung: 1. Generative AI Review Summaries and their Impact on Ambivalence and User Behavior: An Eye-Tracking Study -- 2. Offloading to Digital Minds: How Generative AI Can Help to Craft Jobs -- 3. Deciphering User Gaze Dynamics: Interacting an AI-Driven Platform with an Chatbot for Problem Solving -- Pictures or it didn’t happen! How the Use of the Generative AI Images Impacts the Perceived Believability of News Headlines -- 5. Trust and Compliance in Financial Services: A Comparative Study of Human-led vs AI-led Teams Using Behavioral and Neuroscientific Measures.Zusammenfassung: This book presents the proceedings of the NeuroIS Retreat 2024, June 9 - 11, 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.PPN: PPN: 1919515453Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-BUM | ZDB-2-SXBM

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