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Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience

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Cover of 'Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience'

Table of Contents

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    Book Overview
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    Chapter 1 A Generic Personal Assistant Agent Model for Support in Demanding Tasks
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    Chapter 2 Adaptive Interfaces in Driving
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    Chapter 3 Using Context to Identify Difficult Driving Situations in Unstructured Environments
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    Chapter 4 Neurally-Driven Adaptive Decision Aids
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    Chapter 5 Understanding Brain, Cognition, and Behavior in Complex Dynamic Environments
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    Chapter 6 Designing a Control and Visualization System for Off-Highway Machinery According to the Adaptive Automation Paradigm
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    Chapter 7 Context-Dependent Force-Feedback Steering Wheel to Enhance Drivers’ On-Road Performances
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    Chapter 8 Where Is My Stuff? Augmenting Finding and Re-finding Information by Spatial Locations and Icon Luminance
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    Chapter 9 Adaptive Work-Centered and Human-Aware Support Agents for Augmented Cognition in Tactical Environments
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    Chapter 10 Designing Cognition-Centric Smart Room Predicting Inhabitant Activities
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    Chapter 11 Context-Aware Team Task Allocation to Support Mobile Police Surveillance
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    Chapter 12 Operational Brain Dynamics: Data Fusion Technology for Neurophysiological, Behavioral, and Scenario Context Information in Operational Environments
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    Chapter 13 Characterizing Cognitive Adaptability via Robust Automated Knowledge Capture
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    Chapter 14 Implications of User Anxiety in the Evaluation of Deception in Web Sites
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    Chapter 15 Investigation of Sleepiness Induced by Insomnia Medication Treatment and Sleep Deprivation
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    Chapter 16 Activity Awareness and Social Sensemaking 2.0: Design of a Task Force Workspace
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    Chapter 17 Use of Deception to Improve Client Honeypot Detection of Drive-by-Download Attacks
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    Chapter 18 Capturing and Building Expertise in Virtual Worlds
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    Chapter 19 Conformity out of Diversity: Dynamics of Information Needs and Social Influence of Tags in Exploratory Information Search
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    Chapter 20 Trail Patterns in Social Tagging Systems: Role of Tags as Digital Pheromones
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    Chapter 21 Real-Time Emotional State Estimator for Adaptive Virtual Reality Stimulation
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    Chapter 22 User’s Motion for Shape Perception Using CyARM
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    Chapter 23 Human Control Modeling Based on Multimodal Sensory Feedback Information
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    Chapter 24 Potential and Challenges of Body Area Networks for Affective Human Computer Interaction
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    Chapter 25 Experimental Assessment of Accuracy of Automated Knowledge Capture
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    Chapter 26 Eye Movement as Indicators of Mental Workload to Trigger Adaptive Automation
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    Chapter 27 Impact of Automation and Task Load on Unmanned System Operator’s Eye Movement Patterns
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    Chapter 28 Combining Electroencephalograph and Functional Near Infrared Spectroscopy to Explore Users’ Mental Workload
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    Chapter 29 Detecting Intentional Errors Using the Pressures Applied to a Computer Mouse
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    Chapter 30 Visual Navigation Patterns and Cognitive Load
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    Chapter 31 Modeling the Cognitive Task Load and Performance of Naval Operators
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    Chapter 32 Impact on Performance and Process by a Social Annotation System: A Social Reading Experiment
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    Chapter 33 Proposing Strategies to Prevent the Human Error in Automated Industrial Environments
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    Chapter 34 Wearable Modular Device for Facilitation of Napping and Optimization of Post-nap Performance
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    Chapter 35 Converging Minds: Assessing Team Performance Using Psychophysiological Measures
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    Chapter 36 Measuring Cognitive Workload in Non-military Scenarios Criteria for Sensor Technologies
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    Chapter 37 Combined Effects of Sleep Deprivation, Narrow Space, Social Isolation and High Cognitive Workload on Cognitive Ability of Chinese Operators
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    Chapter 38 Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience
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    Chapter 39 Are You Really Looking? Finding the Answer through Fixation Patterns and EEG
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    Chapter 40 “What Was He Thinking?”: Using EEG Data to Facilitate the Interpretation of Performance Patterns
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    Chapter 41 Motion-Sickness Related Brain Areas and EEG Power Activates
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    Chapter 42 Building Dependable EEG Classifiers for the Real World – It’s Not Just about the Hardware
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    Chapter 43 Improved Team Performance Using EEG- and Context-Based Cognitive-State Classifications for a Vehicle Crew
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    Chapter 44 Detecting Frontal EEG Activities with Forehead Electrodes
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    Chapter 45 The Effectiveness of Feedback Control in a HCI System Using Biological Features of Human Beings
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    Chapter 46 Bayesian Reconstruction of Perceptual Experiences from Human Brain Activity
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    Chapter 47 Tonic Changes in EEG Power Spectra during Simulated Driving
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    Chapter 48 P300 Based Single Trial Independent Component Analysis on EEG Signal
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    Chapter 49 Directed Components Analysis: An Analytic Method for the Removal of Biophysical Artifacts from EEG Data
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    Chapter 50 Functional Near-Infrared Spectroscopy and Electroencephalography: A Multimodal Imaging Approach
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    Chapter 51 Transcranial Doppler: A Tool for Augmented Cognition in Virtual Environments
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    Chapter 52 Predicting Intended Movement Direction Using EEG from Human Posterior Parietal Cortex
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    Chapter 53 Enhancing Text-Based Analysis Using Neurophysiological Measures
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    Chapter 54 Affective Computer-Generated Stimulus Exposure: Psychophysiological Support for Increased Elicitation of Negative Emotions in High and Low Fear Subjects
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    Chapter 55 Applying Real Time Physiological Measures of Cognitive Load to Improve Training
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    Chapter 56 Considerations for Designing Response Quantification Procedures in Non-traditional Psychophysiological Applications
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    Chapter 57 Neurophysiological Measures of Brain Activity: Going from the Scalp to the Brain
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    Chapter 58 Parsimonious Identification of Physiological Indices for Monitoring Cognitive Fatigue
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    Chapter 59 In-Helmet Oxy-hemoglobin Change Detection Using Near-Infrared Sensing
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    Chapter 60 Assessment of Psychophysiological Differences of West Point Cadets and Civilian Controls Immersed within a Virtual Environment
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    Chapter 61 Characterizing the Psychophysiological Profile of Expert and Novice Marksmen
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    Chapter 62 Assessing Cognitive State with Multiple Physiological Measures: A Modular Approach
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    Chapter 63 Neuro-NIRS: Analysis of Neural Activities Using NIRS
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    Chapter 64 Eye Movements and Pupil Size Reveal Deception in Computer Administered Questionnaires
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    Chapter 65 Physiological-Based Assessment of the Resilience of Training to Stressful Conditions
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    Chapter 66 Tunnel Operator Training with a Conversational Agent-Assistant
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    Chapter 67 Evaluating Training with Cognitive State Sensing Technology
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    Chapter 68 Identifying the Nature of Knowledge Using the Pressures Applied to a Computer Mouse
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    Chapter 69 Realizing Adaptive Instruction (Ad-In): The Convergence of Learning, Instruction, and Assessment
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    Chapter 70 Adaptive Learning via Social Cognitive Theory and Digital Cultural Ecosystems
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    Chapter 71 The Interaction between Chinese University Students’ Computer Use and Their Attitudes toward Computer in Learning and Innovation
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    Chapter 72 Peak Performance Trainer (PPTTM): Interactive Neuro-educational Technology to Increase the Pace and Efficiency of Rifle Marksmanship Training
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    Chapter 73 The Quality of Training Effectiveness Assessment (QTEA) Tool Applied to the Naval Aviation Training Context
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    Chapter 74 Perceptually-Informed Virtual Environment (PerceiVE) Design Tool
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    Chapter 75 Can Neurophysiologic Synchronies Provide a Platform for Adapting Team Performance?
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    Chapter 76 Seeing the World through an Expert’s Eyes: Context-Aware Display as a Training Companion
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    Chapter 77 Translating Learning Theories into Physiological Hypotheses
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    Chapter 78 Adapting Instruction
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    Chapter 79 Assessment of Cognitive Neural Correlates for a Functional Near Infrared-Based Brain Computer Interface System
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    Chapter 80 Systems and Strategies for Accessing the Information Content of fNIRS Imaging in Support of Noninvasive BCI Applications
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    Chapter 81 Brain-Computer Interaction
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    Chapter 82 P300 Based Brain Computer Interfaces: A Progress Report
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    Chapter 83 Goal-Oriented Control with Brain-Computer Interface
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    Chapter 84 Wearable and Wireless Brain-Computer Interface and Its Applications
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    Chapter 85 Mind Monitoring via Mobile Brain-Body Imaging
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    Chapter 86 Utilizing Secondary Input from Passive Brain-Computer Interfaces for Enhancing Human-Machine Interaction
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    Chapter 87 Augmented Cognition as Rehabilitation: Facilitating Neuroplasticity?
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    Chapter 88 Embodying Meaning in Bio-cognitive Aid Design
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    Chapter 89 CI Therapy: A Method for Harnessing Neuroplastic Changes to Improve Rehabilitation after Damage to the Brain
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    Chapter 90 Augmented Cognition Design Approaches for Treating Mild Traumatic Brain Injuries
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    Chapter 91 Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience
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    Chapter 92 Long Term Repair of Learning Disability through Short-Term Reduction of CNS Inhibition
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    Chapter 93 Development of Sensitive, Specific, and Deployable Methods for Detecting and Discriminating mTBI and PTSD
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    Chapter 94 Physiologically Driven Rehabilitation Using Virtual Reality
Attention for Chapter 34: Wearable Modular Device for Facilitation of Napping and Optimization of Post-nap Performance
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Chapter title
Wearable Modular Device for Facilitation of Napping and Optimization of Post-nap Performance
Chapter number 34
Book title
Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience
Published by
Springer, Berlin, Heidelberg, July 2009
DOI 10.1007/978-3-642-02812-0_34
Book ISBNs
978-3-64-202811-3, 978-3-64-202812-0
Authors

Djordje Popovic, Giby Raphael, Robin Johnson, Gene Davis, Chris Berka

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 13%
Unknown 7 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 38%
Researcher 2 25%
Student > Postgraduate 1 13%
Unknown 2 25%
Readers by discipline Count As %
Arts and Humanities 1 13%
Business, Management and Accounting 1 13%
Agricultural and Biological Sciences 1 13%
Computer Science 1 13%
Psychology 1 13%
Other 2 25%
Unknown 1 13%