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Augmented Cognition. Human Cognition and Behavior

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Cover of 'Augmented Cognition. Human Cognition and Behavior'

Table of Contents

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    Book Overview
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    Chapter 1 Assessing Intravenous Catheterization Simulation Training of Nursing Students Using Functional Near-Infrared Spectroscopy (fNIRs)
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    Chapter 2 Using fMRI to Predict Training Effectiveness in Visual Scene Analysis
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    Chapter 3 Synthetic Expertise
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    Chapter 4 The Expertise Level
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    Chapter 5 The Dark Sides of Technology - Barriers to Work-Integrated Learning
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    Chapter 6 Exploring the Effects of Immersive Virtual Reality on Learning Outcomes: A Two-Path Model
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    Chapter 7 Flip-Flop Quizzes: A Case Study Analysis to Inform the Design of Augmented Cognition Applications
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    Chapter 8 Metastimuli: An Introduction to PIMS Filtering
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    Chapter 9 How Gamification Increases Learning Performance? Investigating the Role of Task Modularity
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    Chapter 10 Increasing Engagement in a Cyber-Awareness Training Game
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    Chapter 11 Acceptability and Normative Considerations in Research on Autism Spectrum Disorders and Virtual Reality
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    Chapter 12 Feedback Control for Optimizing Human Wellness
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    Chapter 13 The Case for Cognitive-Affective Architectures as Affective User Models in Behavioral Health Technologies
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    Chapter 14 Gathering People’s Happy Moments from Collective Human Eyes and Ears for a Wellbeing and Mindful Society
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    Chapter 15 Examination of Stammering Symptomatic Improvement Training Using Heartbeat-Linked Vibration Stimulation
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    Chapter 16 Guided Mindfulness: Using Expert Schemas to Evaluate Complex Skill Acquisition
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    Chapter 17 An Overview of Virtual Reality Interventions for Two Neurodevelopmental Disorders: Intellectual Disabilities and Autism
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    Chapter 18 Effect of Robotic Surgery Simulators in Training Assessed by Functional Near-Infrared Spectroscopy (fNIRs)
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    Chapter 19 Preparing for Cyber Crisis Management Exercises
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    Chapter 20 Tracking Technostress: A Task Interruption of Data Entry Study
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    Chapter 21 Enhancing Reality: Adaptation Strategies for AR in the Field
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    Chapter 22 Confronting Information Security’s Elephant, the Unintentional Insider Threat
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    Chapter 23 Adapting Interaction to Address Critical User States of High Workload and Incorrect Attentional Focus – An Evaluation of Five Adaptation Strategies
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    Chapter 24 Information-Theoretic Methods Applied to Dispatch of Emergency Services Data
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    Chapter 25 Experimental Evaluation of an Adaptive Planning Assistance System in Manned Unmanned Teaming Missions
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    Chapter 26 Cognitive Variability Factors and Passphrase Selection
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    Chapter 27 Variable Self-Efficacy as a Measurement for Behaviors in Cyber Security Operations
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    Chapter 28 Probing for Psycho-Physiological Correlates of Cognitive Interaction with Cybersecurity Events
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    Chapter 29 Tracking and Improving Strategy Adaptivity in a Complex Task
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    Chapter 30 Computing with Words in Maritime Piracy and Attack Detection Systems
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    Chapter 31 Modeling User Information Needs to Enable Successful Human-Machine Teams: Designing Transparency for Autonomous Systems
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    Chapter 32 The Role of Gaze as a Deictic Cue in Human Robot Interaction
Attention for Chapter 22: Confronting Information Security’s Elephant, the Unintentional Insider Threat
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Chapter title
Confronting Information Security’s Elephant, the Unintentional Insider Threat
Chapter number 22
Book title
Augmented Cognition. Human Cognition and Behavior
Published by
Springer, Cham, July 2020
DOI 10.1007/978-3-030-50439-7_22
Book ISBNs
978-3-03-050438-0, 978-3-03-050439-7
Authors

Matthew Canham, Clay Posey, Patricia S. Bockelman, Canham, Matthew, Posey, Clay, Bockelman, Patricia S.

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 33%
Student > Postgraduate 2 17%
Student > Bachelor 1 8%
Student > Ph. D. Student 1 8%
Student > Doctoral Student 1 8%
Other 0 0%
Unknown 3 25%
Readers by discipline Count As %
Computer Science 7 58%
Psychology 2 17%
Unknown 3 25%