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Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience

Overview of attention for book
Cover of 'Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Developing an Optical Brain-Computer Interface for Humanoid Robot Control
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    Chapter 2 Using Motor Imagery to Control Brain-Computer Interfaces for Communication
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    Chapter 3 An Online Gaze-Independent BCI System Used Dummy Face with Eyes Only Region as Stimulus
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    Chapter 4 A Kronecker Product Structured EEG Covariance Estimator for a Language Model Assisted-BCI
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    Chapter 5 Poor BCI Performers Still Could Benefit from Motor Imagery Training
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    Chapter 6 Predicting EEG Sample Size Required for Classification Calibration
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    Chapter 7 An SSVEP and Eye Tracking Hybrid BNCI: Potential Beyond Communication and Control
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    Chapter 8 Multi-Brain BCI: Characteristics and Social Interactions
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    Chapter 9 Comparing EEG Artifact Detection Methods for Real-World BCI
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    Chapter 10 Examining the Neural Correlates of Incidental Facial Emotion Encoding Within the Prefrontal Cortex Using Functional Near-Infrared Spectroscopy
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    Chapter 11 Exploring the EEG Correlates of Neurocognitive Lapse with Robust Principal Component Analysis
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    Chapter 12 Augmenting VR/AR Applications with EEG/EOG Monitoring and Oculo-Vestibular Recoupling
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    Chapter 13 Neural Correlates of Purchasing Decisions in an Ecologically Plausible Shopping Scenario with Mobile fNIR Technology
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    Chapter 14 Real-Time Monitoring of Cognitive Workload of Airline Pilots in a Flight Simulator with fNIR Optical Brain Imaging Technology
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    Chapter 15 Truthiness: Challenges Associated with Employing Machine Learning on Neurophysiological Sensor Data
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    Chapter 16 Evaluation of Cognitive Control and Distraction Using Event-Related Potentials in Healthy Individuals and Patients with Multiple Sclerosis
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    Chapter 17 Auditory Alarm Misperception in the Cockpit: An EEG Study of Inattentional Deafness
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    Chapter 18 Multi-model Approach to Human Functional State Estimation
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    Chapter 19 Using fNIRS for Real-Time Cognitive Workload Assessment
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    Chapter 20 Modeling and Tracking Brain Nonstationarity in a Sustained Attention Task
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    Chapter 21 Linking Indices of Tonic Alertness: Resting-State Pupil Dilation and Cingulo-Opercular Neural Activity
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    Chapter 22 Evaluating Neural Correlates of Constant-Therapy Neurorehabilitation Task Battery: An fNIRS Pilot Study
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    Chapter 23 Overloaded and Biased? Using Augmented Cognition to Understand the Interaction Between Information Overload and Cognitive Biases
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    Chapter 24 Session-to-Session Transfer in Detecting Steady-State Visual Evoked Potentials with Individual Training Data
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    Chapter 25 Paired Associative Stimulation with Brain-Computer Interfaces: A New Paradigm for Stroke Rehabilitation
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    Chapter 26 Single Trial Variability of Event-Related Brain Potentials as an Index of Neural Efficiency During Working Memory
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    Chapter 27 A More Complete Picture of Emotion Using Electrocardiogram and Electrodermal Activity to Complement Cognitive Data
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    Chapter 28 Real-Time Fatigue Monitoring with Computational Cognitive Models
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    Chapter 29 Introduction to Real-Time State Assessment
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    Chapter 30 User Abilities in Detecting Vibrotactile Signals on the Feet Under Varying Attention Loads
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    Chapter 31 Estimate Emotion Method to Use Biological, Symbolic Information Preliminary Experiment
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    Chapter 32 Job Analysis and Cognitive Task Analysis in National Security Environments
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    Chapter 33 Measuring the Effect of Tangible Interaction on Design Cognition
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    Chapter 34 Psychophysiological Baseline Methods and Usage
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    Chapter 35 Physiological Measures of Arousal During Soldier-Relevant Tasks Performed in a Simulated Environment
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    Chapter 36 Theoretical Versus Mathematical Approach to Modeling Psychological and Physiological Data
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    Chapter 37 Monitoring Attention with Embedded Frequency Markers for Simulation Environments
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    Chapter 38 Augmenting Robot Behaviors Using Physiological Measures of Workload State
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    Chapter 39 Posture Based Recognition of the Visual Focus of Attention for Adaptive Mobile Information Systems
  41. Altmetric Badge
    Chapter 40 Considerations in Physiological Metric Selection for Online Detection of Operator State: A Case Study
  42. Altmetric Badge
    Chapter 41 Sensing and Assessing Cognitive Workload Across Multiple Tasks
Attention for Chapter 1: Developing an Optical Brain-Computer Interface for Humanoid Robot Control
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

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Chapter title
Developing an Optical Brain-Computer Interface for Humanoid Robot Control
Chapter number 1
Book title
Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience
Published in
Lecture notes in computer science, June 2016
DOI 10.1007/978-3-319-39955-3_1
Book ISBNs
978-3-31-939954-6, 978-3-31-939955-3
Authors

Alyssa M. Batula, Jesse Mark, Youngmoo E. Kim, Hasan Ayaz

Editors

Dylan D. Schmorrow, Cali M. Fidopiastis

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 29 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 33%
Researcher 5 17%
Student > Bachelor 4 13%
Student > Doctoral Student 3 10%
Student > Master 3 10%
Other 2 7%
Unknown 3 10%
Readers by discipline Count As %
Engineering 11 37%
Neuroscience 5 17%
Computer Science 4 13%
Business, Management and Accounting 1 3%
Psychology 1 3%
Other 0 0%
Unknown 8 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 May 2022.
All research outputs
#14,268,160
of 22,880,230 outputs
Outputs from Lecture notes in computer science
#4,312
of 8,130 outputs
Outputs of similar age
#201,887
of 353,111 outputs
Outputs of similar age from Lecture notes in computer science
#158
of 355 outputs
Altmetric has tracked 22,880,230 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,130 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 353,111 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 355 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.