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Titlebook: Information Systems and Neuroscience; NeuroIS Retreat 2020 Fred D. Davis,René Riedl,Thomas Fischer Conference proceedings 2020 The Editor(s

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The Impact of Modularization on the Understandability of Declarative Process Models: A Research Modxperiment supported by eye-tracking, electroencephalography (EEG) and galvanic skin response (GSR) to appraise the understandability of hierarchical process models through measures such as comprehension accuracy, response time, attention, cognitive load and cognitive integration.
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Identifying Linguistic Cues of Fake News Associated with Cognitive and Affective Processing: Evidenity) when it is characterized by a higher degree of analytic writing. Our findings contribute to IS theory by disentangling linguistic cues that help to explain how fake news is processed. The insights can aid researchers and practitioners in designing IS to better counter fake news.
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Technostress Measurement in the Field: A Case Report,ajor criteria to determine measurement quality (i.e., reliability, validity, sensitivity, diagnosticity, objectivity, and intrusiveness). We find that each data collection method has its strengths and weaknesses. What follows is the need for mixed methods designs in technostress field studies.
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2195-4968 presents the proceedings of the virtual conference NeuroIS Retreat 2020, June 2–4, hosted in 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 Neu
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Why We Love Blue Hues on Websites: A fNIRS Investigation of Color and Its Impact on the Neural Procn color to which user reactions are measured by employing functional near-infrared spectroscopy (fNIRS). The results of this study show that blue colored websites seem to require generally less processing power related to cognitive processing while revealing increases in brain structures related to processing pleasant and aesthetic stimuli.
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Operationalization of Information Acquisition Switching Behavior in the Context of Idea Selection, decreasing trend towards the end. Future research will add cognitive load to explain occurring switches between different IA modes and may allow to deduce recommendations for more efficient IT designs, preserving rater’s cognitive resources.
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