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Titlebook: Information Systems and Neuroscience; NeuroIS Retreat 2023 Fred D. Davis,René Riedl,Gernot R. Müller-Putz Conference proceedings 2024 The E

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发表于 2025-3-21 18:40:47 | 显示全部楼层 |阅读模式
书目名称Information Systems and Neuroscience
副标题NeuroIS Retreat 2023
编辑Fred D. Davis,René Riedl,Gernot R. Müller-Putz
视频video
概述Presents cutting-edge research in the field of NeuroIS.Includes fundamentals and applications.Summarizes the status quo in NeuroIS
丛书名称Lecture Notes in Information Systems and Organisation
图书封面Titlebook: Information Systems and Neuroscience; NeuroIS Retreat 2023 Fred D. Davis,René Riedl,Gernot R. Müller-Putz Conference proceedings 2024 The E
描述.This book presents the proceedings of the NeuroIS Retreat 2023, May 30–June 1, 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..
出版日期Conference proceedings 2024
关键词Neurophysiology; Design science; Neuropsychology; Computational Neuroscience; Brain-computer interfaces;
版次1
doihttps://doi.org/10.1007/978-3-031-58396-4
isbn_softcover978-3-031-58395-7
isbn_ebook978-3-031-58396-4Series ISSN 2195-4968 Series E-ISSN 2195-4976
issn_series 2195-4968
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Customer Decision-Making Processes Revisited: Insights from an Eye Tracking and ECG Study Using a Hition, we demonstrate how to use the neurophysiological sensor data to train a Hidden Markov Model with multivariate mixed Gaussian emission distributions and how to use it for inference. A main benefit of our approach is its lightweight character regarding both training and inference.
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,AI-Assisted Hate Speech Moderation—How Information on AI-Based Classification Affects the Human Braion patterns, which in turn depend on the individual’s importance of hate speech prevention. Moreover, this exploratory study indicates that AI-based classifications may also induce a “cortical relief” seemingly cause behavioral effects that at least cast doubt on the validity and desirability of the AI-assisted human decision.
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Do Generative AI Tools Foster Positive Experiences in Knowledge Work? A NeuroIS Research Proposal,erate objective insights into the dynamics of cognitive load and flow during early project stages. The research could lead to the development of neuro-adaptive recommender agents that propose AI invocation when undesirable load levels are detected.
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Connecting Values: The Research Potential of Sustainable Engagement,elevant applications for using neurophysiology to study the relationship between organizational social media posts that highlight their sustainable values and employee engagement and to instigate further research in the study domain, both theoretical and empirical.
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The Relationship Between Mental Effort and Social Value Orientation in Resource Allocation Problemsuating the Theta to Alpha ratio based on an EEG measurement. The results show a significant linear relationship between the player’s SVO value and its mental effort. That is, the smaller the SVO value (a more competitive player), the greater the mental effort he invests in the resource allocation task.
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