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Titlebook: Information Systems and Neuroscience; NeuroIS Retreat 2018 Fred D. Davis,René Riedl,Adriane B. Randolph Conference proceedings 2019 Springe

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发表于 2025-3-21 16:33:22 | 显示全部楼层 |阅读模式
书目名称Information Systems and Neuroscience
副标题NeuroIS Retreat 2018
编辑Fred D. Davis,René Riedl,Adriane B. Randolph
视频video
概述Presents most recent works in the cutting-edge research field of NeuroIS.Includes fundamentals and applications.Summarizes the status of NeuroIS in a concise way
丛书名称Lecture Notes in Information Systems and Organisation
图书封面Titlebook: Information Systems and Neuroscience; NeuroIS Retreat 2018 Fred D. Davis,René Riedl,Adriane B. Randolph Conference proceedings 2019 Springe
描述This book presents the proceedings of the NeuroIS Retreat 2018, June 19-21, 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 2019
关键词NeuroIS; Gmunden Retreat 2016; human behavior and information systems; neuro information systems; neurob
版次1
doihttps://doi.org/10.1007/978-3-030-01087-4
isbn_softcover978-3-030-01086-7
isbn_ebook978-3-030-01087-4Series ISSN 2195-4968 Series E-ISSN 2195-4976
issn_series 2195-4968
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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NeuroIS for Decision Support: The Case of Filmmakers and Audience Test Screenings,nce between the emotional experience intended by the filmmaker and the emotional experience exhibited by the audience. Further, NeuroIS allows an evaluation of how the emotional experience to specific cinematic moments affects overall movie satisfaction.
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Attentional Characteristics of Anomaly Detection in Conceptual Modeling,yntactic errors. By identifying the visual attention differences and tendencies associated with successful detection tasks and the investigation of semantic and syntactic errors, we highlight the non-polarity of the ‘scale’ of expertise and allow clear recommendations for curriculum development and training methods.
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Enhancing the Implicit Association Test: A Four-Step Model to Find Appropriate Stimuli, nor the participants would recognize such confounding effects. Thus, we focus on the time span between stimulus onset and response and develop a four-step model to create an optimized stimuli set including (1) brainstorming, (2) forming & performing (i.e. pretesting), (3) backward-brainstorming and (4) informing & interviewing.
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: The R-Package for Neuro Information Systems Research, practical guide on how to conduct the analysis of bio-physiological data combined with behavioral data (e.g., from the web, experimental tasks, or log files). Further, the article provides an analysis framework and covers the different stages involved in analyzing physiological data.
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How Attention Networks Can Inform Research in Information Systems,Network Test, one of the prominent measures of attention networks. We explore two ways that the model can inform information systems research and conclude that there are many other potential ways that the study of attention networks can advance research in information systems.
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NeuroIS: A Survey on the Status of the Field,rch. Motivated by the fact that the NeuroIS Retreat celebrates its 10-year anniversary in 2018, we invited all 166 former participants of the NeuroIS Retreat to state their opinions in an online survey on the development of the field and its future. In this paper, we summarize the answers of N = 60 respondents regarding NeuroIS topics and methods.
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