Augmented Cognition. Neurocognition and Machine Learning

Table of Contents

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   Book Overview
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   Chapter 1 My Brain Is Out of the Loop: A Neuroergonomic Approach of OOTL Phenomenon
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   Chapter 2 Testing the Specificity of EEG Neurofeedback Training on First- and Second-Order Measures of Attention
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   Chapter 3 Neural Dynamics of Spontaneous Thought: An Electroencephalographic Study
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   Chapter 4 Deep Transfer Learning for Cross-subject and Cross-experiment Prediction of Image Rapid Serial Visual Presentation Events from EEG Data
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   Chapter 5 Using Portable EEG to Assess Human Visual Attention
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   Chapter 6 Investigating Brain Dynamics in Industrial Environment – Integrating Mobile EEG and Kinect for Cognitive State Detection of a Worker
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   Chapter 7 Characteristic Alpha Reflects Predictive Anticipatory Activity (PAA) in an Auditory-Visual Task
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   Chapter 8 Influence of Spontaneous Rhythm on Movement-Related Cortical Potential - A Preliminary Neurofeedback Study
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    Chapter 9 Multiple Human EEG Synchronous Analysis in Group Interaction-Prediction Model for Group Involvement and Individual Leadership
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    Chapter 10 Interactive Image Segmentation Method of Eye Movement Data and EEG Data
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    Chapter 11 Geometry and Gesture-Based Features from Saccadic Eye-Movement as a Biometric in Radiology
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    Chapter 12 Assessing Workload with Low Cost Eye Tracking During a Supervisory Control Task
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    Chapter 13 The Analysis and Prediction of Eye Gaze When Viewing Statistical Graphs
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    Chapter 14 Performance Evaluation of the Gazepoint GP3 Eye Tracking Device Based on Pupil Dilation
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    Chapter 15 Patterns of Attention: How Data Visualizations Are Read
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    Chapter 16 Eye Tracking for Dynamic, User-Driven Workflows
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    Chapter 17 Investigating Eye Movements in Natural Language and C++ Source Code - A Replication Experiment
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    Chapter 18 Adapting Human-Computer-Interaction of Attentive Smart Glasses to the Trade-Off Conflict in Purchase Decisions: An Experiment in a Virtual Supermarket
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    Chapter 19 Practical Considerations for Low-Cost Eye Tracking: An Analysis of Data Loss and Presentation of a Solution
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    Chapter 20 A Comparison of an Attention Acknowledgement Measure and Eye Tracking: Application of the as Low as Reasonable Assessment (ALARA) Discount Usability Principle for Control System Studies
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    Chapter 21 Rim-to-Rim Wearables at the Canyon for Health (R2R WATCH): Experimental Design and Methodology
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    Chapter 22 Investigation of Breath Counting, Abdominal Breathing and Physiological Responses in Relation to Cognitive Load
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    Chapter 23 Investigating the Role of Biofeedback and Haptic Stimulation in Mobile Paced Breathing Tools
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    Chapter 24 Pupil Dilation and Task Adaptation
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    Chapter 25 Rim-to-Rim Wearables at the Canyon for Health (R2R WATCH): Correlation of Clinical Markers of Stress with Physiological COTS Data
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    Chapter 26 Grounded Approach for Understanding Changes in Human Emotional States in Real Time Using Psychophysiological Sensory Apparatuses
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    Chapter 27 Augmented Cognition for Continuous Authentication
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    Chapter 28 Analysis of Social Interaction Narratives in Unaffected Siblings of Children with ASD Through Latent Dirichlet Allocation
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    Chapter 29 Smart Watch Potential to Support Augmented Cognition for Health-Related Decision Making
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    Chapter 30 Multidimensional Real-Time Assessment of User State and Performance to Trigger Dynamic System Adaptation
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    Chapter 31 An Affordable Bio-Sensing and Activity Tagging Platform for HCI Research
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    Chapter 32 Facial Expression Recognition from Still Images
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    Chapter 33 CHISSL: A Human-Machine Collaboration Space for Unsupervised Learning
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    Chapter 34 Toward an Open Data Repository and Meta-Analysis of Cognitive Data Using fNIRS Studies of Emotion
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    Chapter 35 Establishing Ground Truth on Pyschophysiological Models for Training Machine Learning Algorithms: Options for Ground Truth Proxies
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    Chapter 36 The Impact of Streaming Data on Sensemaking with Mixed-Initiative Visual Analytics
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    Chapter 37 Some Syntax-Only Text Feature Extraction and Analysis Methods for Social Media Data
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    Chapter 38 Using the Hash Tag Histogram and Social Kinematics for Semantic Clustering in Social Media
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    Chapter 39 Interface Metaphors for Interactive Machine Learning
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    Chapter 40 Classifying Tweets Using User Account Information
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    Chapter 41 Machine Learning-Based Prediction of Changes in Behavioral Outcomes Using Functional Connectivity and Clinical Measures in Brain-Computer Interface Stroke Rehabilitation
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    Chapter 42 Content Feature Extraction in the Context of Social Media Behavior
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    Chapter 43 Detecting Mislabeled Data Using Supervised Machine Learning Techniques