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Augmented Cognition

Overview of attention for book
Augmented Cognition
Springer Nature Switzerland

Table of Contents

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    Book Overview
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    Chapter 1 Advancing EEG-Based Gaze Prediction Using Depthwise Separable Convolution and Enhanced Pre-processing
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    Chapter 2 A Novel Loss Function Utilizing Wasserstein Distance to Reduce Subject-Dependent Noise for Generalizable Models in Affective Computing
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    Chapter 3 Enhancing Eye-Tracking Performance Through Multi-task Learning Transformer
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    Chapter 4 Fusing Pretrained ViTs with TCNet for Enhanced EEG Regression
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    Chapter 5 Effect of Kernel Size on CNN-Vision-Transformer-Based Gaze Prediction Using Electroencephalography Data
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    Chapter 6 Better Results Through Ambiguity Resolution: Large Language Models that Ask Clarifying Questions
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    Chapter 7 Enhancing Representation Learning of EEG Data with Masked Autoencoders
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    Chapter 8 Small Languages and Big Models: Using ML to Generate Norwegian Language Social Media Content for Training Purposes
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    Chapter 9 Early Use of Augmented Cognition for Online Learning Games in Hawai‘i
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    Chapter 10 Collaborative Game: Using Explicit Biofeedback to Enhance Empathy Loop
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    Chapter 11 Reflection of Individual Differences on Emotion Map for Kansei Evaluation of Packaging Design with Physiological Indexes
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    Chapter 12 Tabletop Exercise for Ransomware Negotiations
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    Chapter 13 The Role of Cognition in Developing Successful Cybersecurity Training Programs – Passive vs. Active Engagement
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    Chapter 14 Health Informatics Associations Between Mindfulness Traits and Health Outcomes in Veterans with Chronic Multi-symptom Illness
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    Chapter 15 The AugCog of Work
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    Chapter 16 Distance-Based Lifestyle Medicine for Veterans with Chronic Multi-symptom Illness (CMI): Health Coaching as Behavioral Health Intervention for Clinical Adherence
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    Chapter 17 What Works Well? A Safety-II Approach to Cybersecurity
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Title
Augmented Cognition
Published by
Springer Nature Switzerland, June 2024
DOI 10.1007/978-3-031-61572-6
ISBNs
978-3-03-161571-9, 978-3-03-161572-6
Editors

Schmorrow, Dylan D., Fidopiastis, Cali M.

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