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Information Systems and Neuroscience

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Cover of 'Information Systems and Neuroscience'

Table of Contents

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    Book Overview
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    Chapter 1 NeuroIS Knowledge Discovery Approach to Prediction of Traumatic Brain Injury Survival Rates: A Semantic Data Analysis Regression Feasibility Study
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    Chapter 2 The Status Quo of Neurophysiology in Organizational Technostress Research: A Review of Studies Published from 1978 to 2015
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    Chapter 3 The Impact of Interruptions on Technology Usage: Exploring Interdependencies Between Demands from Interruptions, Worker Control, and Role-Based Stress
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    Chapter 4 An Investigation of the Nature of Information Systems from a Neurobiological Perspective
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    Chapter 5 A Hot Topic—Group Affect Live Biofeedback for Participation Platforms
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    Chapter 6 (Online)-Buying Behavior and Personality Traits: Evolutionary Psychology and Neuroscience Based
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    Chapter 7 Choice of a NeuroIS Tool: An AHP-Based Approach
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    Chapter 8 Foreign Live Biofeedback: Using Others’ Neurophysiological Data
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    Chapter 9 What Does the Skin Tell Us About Information Systems Usage? A Literature-Based Analysis of the Utilization of Electrodermal Measurement for IS Research
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    Chapter 10 A Novel, Low-Cost NeuroIS Prototype for Supporting Bio Signals Experimentation Based on BITalino
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    Chapter 11 The Evaluation of Different EEG Sensor Technologies
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    Chapter 12 Choice Architecture: Using Fixation Patterns to Analyze the Effects of Form Design on Cognitive Biases
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    Chapter 13 Neurophysiological Analysis of Visual Syntax in Design
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    Chapter 14 The Influence of Cognitive Abilities and Cognitive Load on Business Process Models and Their Creation
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    Chapter 15 An Evolutionary Explanation of Graph Comprehension Using fMRI
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    Chapter 16 Investigation of the Relationship Between Visual Website Complexity and Users’ Mental Workload: A NeuroIS Perspective
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    Chapter 17 Measuring Cognitive Load During Process Model Creation
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    Chapter 18 Cognitive Differences and Their Impact on Information Perception: An Empirical Study Combining Survey and Eye Tracking Data
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    Chapter 19 Using fMRI to Explain the Effect of Dual-Task Interference on Security Behavior
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    Chapter 20 Measuring Appeal in Human Computer Interaction: A Cognitive Neuroscience-Based Approach
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    Chapter 21 Mobile App Preferences: What Role Does Aesthetics and Emotions Play?
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    Chapter 22 Identifying Neurological Patterns Associated with Information Seeking: A Pilot fMRI Study
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    Chapter 23 Proposal for the Use of a Passive BCI to Develop a Neurophysiological Inference Model of IS Constructs
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    Chapter 24 Emotion Is not What You Think It Is: Startle Reflex Modulation (SRM) as a Measure of Affective Processing in NeuroIS
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    Chapter 25 Measuring Flow Using Psychophysiological Data in a Multiplayer Gaming Context
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    Chapter 26 Using a Cognitive Analysis Grid to Inform Information Systems Design
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    Chapter 27 Research Directions for Methodological Improvement of the Statistical Analysis of Electroencephalography Data Collected in NeuroIS
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    Chapter 28 Measuring Visual Complexity Using Neurophysiological Data
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    Chapter 29 Using NeuroIS to Better Understand Activities Performed on Mobile Devices
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    Chapter 30 Erratum to: The Evaluation of Different EEG Sensor Technologies
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Title
Information Systems and Neuroscience
Published by
Springer International Publishing, January 2015
DOI 10.1007/978-3-319-18702-0
ISBNs
978-3-31-918701-3, 978-3-31-918702-0
Authors

Fred D. Davis, René Riedl, Jan vom Brocke, Pierre-Majorique Léger, Adriane B. Randolph

Editors

Davis, Fred D., Riedl, René, vom Brocke, Jan, Léger, Pierre-Majorique, Randolph, Adriane B.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Israel 1 <1%
Portugal 1 <1%
Austria 1 <1%
Unknown 135 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 26%
Student > Master 24 17%
Researcher 13 9%
Student > Bachelor 13 9%
Student > Doctoral Student 10 7%
Other 24 17%
Unknown 20 14%
Readers by discipline Count As %
Computer Science 24 17%
Business, Management and Accounting 22 16%
Psychology 18 13%
Engineering 16 11%
Economics, Econometrics and Finance 9 6%
Other 24 17%
Unknown 27 19%