Information Systems and Neuroscience

Table of Contents

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   Book Overview
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   Chapter 1 Why We Love Blue Hues on Websites: A fNIRS Investigation of Color and Its Impact on the Neural Processing of Ecommerce Websites
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   Chapter 2 Identifying Linguistic Cues of Fake News Associated with Cognitive and Affective Processing: Evidence from NeuroIS
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   Chapter 3 Think Outside the Box: Small, Enclosed Spaces Alter Brain Activity as Measured with Electroencephalography (EEG)
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   Chapter 4 Operationalization of Information Acquisition Switching Behavior in the Context of Idea Selection
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   Chapter 5 Relying on System 1 Thinking Leaves You Susceptible to the Peril of Misinformation
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   Chapter 6 Neurophysiological Assessment of Ambivalence to Information
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   Chapter 7 Behavior Regulation in Social Media: A Preliminary Analysis of Pupil Size Change
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   Chapter 8 A NeuroIS Investigation of the Effects of a Digital Dark Nudge
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    Chapter 9 Technostress Measurement in the Field: A Case Report
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    Chapter 10 Do Users Respond to Challenging and Hindering Techno-Stressors Differently? A Laboratory Experiment
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    Chapter 11 Advancing NeuroIS from a Dialectical Perspective
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    Chapter 12 An Eye-Tracking Study of Differences in Reading Between Automated and Human-Written News
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    Chapter 13 NeuroIS to Improve the FITradeoff Decision-Making Process and Decision Support System
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    Chapter 14 Improvements in the FITradeoff Decision Support System for Ranking Order Problematic Based in a Behavioral Study with NeuroIS Tools
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    Chapter 15 The Impact of Modularization on the Understandability of Declarative Process Models: A Research Model
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    Chapter 16 The Influence of Negative Emotion as Affective State on Conceptual Models Comprehension
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    Chapter 17 What Do Users Feel? Towards Affective EEG Correlates of Cybersecurity Notifications
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    Chapter 18 Detecting Mind Wandering Episodes in Virtual Realities Using Eye Tracking
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    Chapter 19 Feeling the Pain of Others in Need: Studying the Effect of VR on Donation Behavior Using EEG
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    Chapter 20 Using NeuroIS Tools to Understand How Individual Characteristics Relate to Cognitive Behaviors of Students
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    Chapter 21 Beyond System Design: The Impact of Message Design on Recommendation Acceptance
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    Chapter 22 Nudging to Improve Financial Auditors’ Behavior: Preliminary Results of an Experimental Study
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    Chapter 23 Improving Driving Behavior with an Insurance Telematics Mobile Application
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    Chapter 24 Understanding the Mental Recovery Effect of Cyberloafing: Attention Replenishment and Task-Set Inertia
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    Chapter 25 How to Measure Customers’ Emotional Experience? A Short Review of Current Methods and a Call for Neurophysiological Approaches
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    Chapter 26 Exploring Gender Differences on eCommerce Websites: A Behavioral and Neural Approach Utilizing fNIRS
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    Chapter 27 Physiological Measurement in the Research Field of Electronic Performance Monitoring: Review and a Call for NeuroIS Studies
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    Chapter 28 The Effect of Individual Coordination Ability on Cognitive-Load in Tacit Coordination Games
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    Chapter 29 Analysis of Contextual Effects of Advertising Banners
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    Chapter 30 Measuring Extraversion Using EEG Data
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    Chapter 31 AttentionBoard: A Quantified-Self Dashboard for Enhancing Attention Management with Eye-Tracking
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    Chapter 32 Machine Learning-Based Diagnosis of Epilepsy in Clinical Routine: Lessons Learned from a Retrospective Pilot Study
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    Chapter 33 Ambient Facial Emotion Recognition: A Pilot Study
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    Chapter 34 A Tri-Hybrid Brain-Computer Interface for Neuro-Information Systems
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    Chapter 35 The Association Between Information Security and Reward Processing
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    Chapter 36 Explaining Inconsistent Research Findings on the Relationship Between Age and Technostress Perceptions: Insights from the Neuroscience Literature
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    Chapter 37 Smartphone Pathology, Agency and Reward Processing
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    Chapter 38 Hedonic Multitasking: The Effects of Instrumental Subtitles During Video Watching
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    Chapter 39 Neurophysiological Reactions to Social Media Logos
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    Chapter 40 On the Modulation of Perturbation-Evoked Potentials After Motor Reaction in a Human-Machine Interaction Setup
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    Chapter 41 Consumer-Grade EEG Instruments: Insights on the Measurement Quality Based on a Literature Review and Implications for NeuroIS Research