Neuroergonomics: The Brain at Work and in Everyday Life · Pierre Besson, Vincent Cabibel, Mark...
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a publisher's https://oatao.univ-toulouse.fr/21820
http://doi.org/10.1016/C2016-0-02196-4
Ayaz, Hasan and Dehais, Frédéric Neuroergonomics: the brain at work and in everyday life. (2019) Elsevier. ISBN
9780128119266
Neuroergonomics
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NeuroergonomicsThe Brain at Work and in Everyday Life
Edited by
Hasan AyazDrexel University, Philadelphia, PA, United States
Frédéric DehaisISAE-SUPAERO, Université de Toulouse, Toulouse, France
Academic Press is an imprint of Elsevier125 London Wall, London EC2Y 5AS, United Kingdom525 B Street, Suite 1650, San Diego, CA 92101, United States50 Hampshire Street, 5th Floor, Cambridge, MA 02139, United StatesThe Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, United Kingdom
Copyright © 2019 Elsevier Inc. All rights reserved.
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This book and the individual contributions contained in it are protected under copyright by the Publisher (other than as may be noted herein).
NoticesKnowledge and best practice in this field are constantly changing. As new research and experience broaden our understanding, changes in research methods, professional practices, or medical treatment may become necessary.
Practitioners and researchers must always rely on their own experience and knowledge in evaluating and using any information, methods, compounds, or experiments described herein. In using such information or methods they should be mindful of their own safety and the safety of others, including parties for whom they have a professional responsibility.
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ISBN: 978-0-12-811926-6
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Dedication
This book is dedicated to Professor Raja Parasuraman who unexpectedly passed on March 22, 2015. Raja Parasuraman’s pioneering work led to the emergence of Neuroergonomics as a new scientific field. He made significant contributions
to a number of disciplines from human factors to cognitive neuroscience. His early work included important contributions to topics such as vigilance and
human interaction with automated systems. He later consolidated his interests in human factors and cognitive neuroscience to develop a new discipline called Neuroergonomics, which he defined as the study of the brain and behavior at
work.His advice to young researchers was to be passionate in order to develop
theory and knowledge that can guide the design of technologies and environments for people. His legacy, the field of Neuroergonomics, will live
on in countless faculties and students whom he advised and inspired with unmatched humility throughout the span of his distinguished career. Raja Parasuraman was an impressive human being, a very kind person, and an
absolutely inspiring individual who will be remembered by everyone who had the chance to meet him.
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vii
Contents
List of Contributors xxi
Section IIntroduction
1. Progress and Direction in Neuroergonomics
Frédéric Dehais and Hasan Ayaz
Introduction 3Understanding the Brain in Everyday Activities 3
Adapting Interaction 4Augmenting Cognition 5
Conclusion and Future Challenges 5Book Organization 5References 6
Section IIMethods
2. The Use of Electroencephalography in Neuroergonomics
Klaus Gramann and Markus Plank
Introduction 11Physiological Foundation of the EEG 11
EEG Amplifiers 12EEG Sensors 12
Signal Processing 13Data Analysis in the Time Domain—Event-
Related Potentials 13Data Analysis in the Frequency Domain—
Spectral Variations 13Applications 14Summary 14References 15
3. The Use of Functional Near-Infrared Spectroscopy in Neuroergonomics
Hasan Ayaz, Meltem Izzetoglu, Kurtulus Izzetoglu and Banu Onaral
Introduction 17Measure 17
Physiological and Physical Principles 17Processing 18
Motion Artifacts 18Superficial Layers 19Physiological Signals 19
Analyze 19Applications 20
Aerospace: Cognitive Workload Assessment of Air Traffic Controllers 20
Aerospace: Expertise Development With Piloting Tasks 21
Healthcare: Cognitive Aging 21Conclusion 22References 22
4. Why is Eye Tracking an Essential Part of Neuroergonomics?
Vsevolod Peysakhovich, Frédéric Dehais and Andrew T. Duchowski
Eye Movements 27Pupil Diameter 28Eye–Computer Interface 28References 29
5. The Use of tDCS and rTMS Methods in Neuroergonomics
Daniel Callan and Stephane Perrey
Introduction 31TMS Principles 31tDCS Principles 32Conclusion 33References 33
viii Contents
6. Transcranial Doppler Sonography in Neuroergonomics
Tyler H. Shaw, Amanda E. Harwood, Kelly Satterfield and Victor S. Finomore
TCD Instrumentation and Application 35TCD and Task Characteristics 36
TCD and Supervisory Control 36TCD and Operator Characteristics 37
TCD and the Effects of Operator Experience 38TCD and the Effects of Cognitive Aging 38
Conclusion 39References 40Further Reading 41
7. Brain–Computer Interface Contributions to Neuroergonomics
Fabien Lotte and Raphaëlle N. Roy
Introduction 43Signal Processing 44
Preprocessing 44Feature Extraction 44Classification 45Adaptation 45
Contributions to Neuroergonomics 45Mental States 45Offline Use: Evaluation 46Online Use: Adaptation 46
Perspectives 46References 46
8. Neuroergonomics of Simulators and Behavioral Research Methods
Carryl L. Baldwin
Overview 49Simulations and Neuroergonomics 49
Advantages 49Challenges 49
Important Issues 50Transfer of Training 50Fidelity 50Validity 50Generalizability 50Part Task 51Whole Task 51Simulator Sickness 51Adaptation Period 52
Behavioral Research Methods 52Baseline Performance 52Control Conditions 52
Conclusion 52References 53
9. Neuroergonomics for Aviation
Daniel E. Callan and Frédéric Dehais
Introduction 55Challenges 55Electro-Encephalography 56Functional Near Infra Red Spectroscopy 56
Brain Computer Interface and Neuro-Adaptive Technology 57
Neurostimulation 57Conclusion 57References 57
10. MoBI—Mobile Brain/Body Imaging
Evelyn Jungnickel, Lukas Gehrke, Marius Klug and Klaus Gramann
Introduction 59Physiological Principles 59Instrumentation 60
Signal Processing and Analysis Approaches 60Applications 61References 62
11. Experiments With Participants: Some Ethical Considerations
Catherine Tessier and Vincent Bonnemains
Introduction 65Who Is Involved in the Experiment? 65
The Investigator 65The Participants 65
Information Given to the Participants 66Can the Criteria Really Be Satisfied? 66To What Extent Is the Participant Informed? 66Potential Benefits and Risks 66Incidental Findings 67
Data 67Which Data Is Really Necessary? 67Personal Data 67Anonymization and Pseudonymization 67Data Storage and Access 68
Toward Experiment Results Publication 68Approval by an Ethics Committee 68Conflicts of Interest 68More Scientific Integrity Issues 69
Conclusion 69Acknowledgments 69References 69
Contents ix
Section IIINeuroadaptive Interfaces and Operator Assessment
12. Neural Efficiency and Mental Workload: Locating the Red Line
Stephen Fairclough, Kate Ewing, Christopher Burns and Ute Kreplin
Introduction 73Neural Efficiency 73Study One 74Study Two 75Summary 76References 76
13. Drowsiness Detection During a Driving Task Using fNIRS
Rayyan A. Khan, Noman Naseer and Muhammad J. Khan
Introduction 79Literature Review 80Methods 80
Support Vector Machine 81Linear Discriminant Analysis 82
Results 82Discussion 82Conclusion 84References 84Further Reading 85
14. Neural Oscillation Dynamics of Emerging Interest in Neuroergonomics
Robert J. Gougelet
Neuroergonomists Should Know About Neural Oscillations 87
Neural Oscillation Dynamics of Emerging Interest 87Amplitude, Frequency, and Phase
Modulation of Neural Oscillations 87Amplitude, Frequency, and Phase
Coupling of Neural Oscillations 89Waveform Shape and Neural Noise 89
Leveraging Neural Oscillations in Neuroergonomics 89
References 90
15. Is Mindfulness Helping the Brain to Drive? Insights From Behavioral Data and Future Directions for Research
Emanuelle Reynaud and Jordan Navarro
Introduction 93MMP and Driving 93
Method 93Results 94Discussion 95
MMP and the Driving Brain 95Rationale 95Method 96Results 96Discussion 96
General Discussion and Conclusion 97References 97
16. Tracking Mental Workload by Multimodal Measurements in the Operating Room
Ahmet Omurtag, Raphaëlle N. Roy, Frédéric Dehais, Luc Chatty and Marc Garbey
Introduction 99Methods 100Results 101Discussion 102Conclusion 102References 102
17. Toward Brain-Based Interaction Between Humans and Technology: Does Age Matter?
Mathias Vukelić, Kathrin Pollmann and Matthias Peissner
Introduction 105Methods 105
Participants 105Experimental Procedure and Data Recording 105EEG Data Analysis 106
Results 106Subjective Ratings 106Event-Related Potentials 106
Discussion 107Acknowledgments 108References 108
x Contents
18. Mobile Neuroergonomics: Action, Interfaces, Cognitive Load, and Selective Attention
Ryan McKendrick
Action, Environment, and the Brain 111Action, Technology, and the Brain 113Neuroergonomics and Selective Attention 115Conclusion 115References 116
19. Computational Models for Near-Real-Time Performance Predictions Based on Physiological Measures of Workload
Matthias D. Ziegler, Bartlett A. Russell, Amanda E. Kraft, Michael Krein, Jon Russo and William D. Casebeer
Introduction 117Methods 118
Participants 118Task Design 118
Results 119Discussion 120Acknowledgments 120References 120
20. EEG-Based Mental Workload Assessment During Real Driving: A Taxonomic Tool for Neuroergonomics in Highly Automated Environments
Gianluca Di Flumeri, Gianluca Borghini, Pietro Aricò, Nicolina Sciaraffa, Paola Lanzi, Simone Pozzi, Valeria Vignali, Claudio Lantieri, Arianna Bichicchi, Andrea Simone and Fabio Babiloni
Introduction 121Material and Methods 122
Experimental Protocol 122EEG Recording and Processing 123Eye Tracking Recording and Processing 123Performed Data Analysis 123
Results 124Discussion 125Conclusions 125Acknowledgments 125References 125
21. Preliminary Validation of an Adaptive Tactical Training Model: Cognitive Alignment With Performance-Targeted Training Intervention Model
Quinn Kennedy, Travis Carlson and Lee Sciarini
Introduction 127Methods 128CAPTTIM Classification 129Results 129Discussion 130Acknowledgments 131References 131Further Reading 131
22. Neural Efficiency Metrics in Neuroergonomics: Theory and Applications
Adrian Curtin and Hasan Ayaz
Introduction 133Measuring Neural Correlates of Cognitive
Load: Electroencephalography 134Measuring Neural Correlates of Cognitive
Load: Functional Near-Infrared Spectroscopy 135
Calculating and Employing Measures of Neural Efficiency 136
Discussion: Application, Challenges, and Limitations 137
Conclusion 138References 138
Section IVNeurostimulation Applications
23. Neuromodulatory Effects of Transcranial Direct Current Stimulation Revealed by Functional Magnetic Resonance Imaging
Brian Falcone and Daniel E. Callan
References 145
Contents xi
24. Neurophysiological Correlates of tDCS-Induced Modulation of Cortical Sensorimotor Networks: A Simultaneous fNIRS–EEG Study
Makii Muthalib, Pierre Besson, Anirban Dutta, Mitsuhiro Hayashibe and Stephane Perrey
Introduction 147Methods 148
Design and Protocol 148tDCS 148fNIRS 149EEG 149fNIRS and EEG Analysis 149
Results 149Discussion 149Conclusion 150Acknowledgments 150References 150
25. Opinion: The Use of Online/Offline Terminology for Transcranial Direct Current Stimulation Can Bring Confusion
Pierre Besson, Vincent Cabibel, Mark Muthalib and Stephane Perrey
Acknowledgments 154References 154
Section VEmerging Applications in Decision-Making, Usability, Trust & Emotions
26. Neural Signatures of Advice Utilization During Human–Machine Agent Interactions: Functional Magnetic Resonance Imaging and Effective Connectivity Evidence
Kimberly Goodyear and Frank Krueger
Introduction 159Background 159Empirical Evidence 160Summary 162Acknowledgments 163References 163
27. Psychophysical Equivalence of Static Versus Dynamic Stimuli in a Two-Alternative Forced-Choice Detection Task
Gabriella M. Hancock
Introduction 165Methods 165Results 166Discussion 166References 168
28. Functional Near-Infrared Spectroscopy: Proof of Concept for Its Application in Social Neuroscience
Stefano I. Di Domenico, Achala H. Rodrigo, Mengxi Dong, Marc A. Fournier, Hasan Ayaz, Richard M. Ryan and Anthony C. Ruocco
A Brief Introduction to fNIRS and Its Potential for Social Neuroscience 169
The Current Study 170Method 170
Participants 170Personality Judgment Task 170fNIRS Procedures and Signal Processing 170
Results 172Discussion 172References 172
29. Quantifying Brain Hemodynamics During Neuromuscular Fatigue
Joohyun Rhee and Ranjana K. Mehta
Introduction 175Methods 175
Participants 175Procedures 175Measurements 176
NIRS Analyses 176Data Presentation 178Results and Discussion 179References 180
30. Web Usability Testing With Concurrent fNIRS and Eye Tracking
Siddharth Bhatt, Atahan Agrali, Kevin McCarthy, Rajneesh Suri and Hasan Ayaz
Introduction 181Methods 182Results 182
xii Contents
Survey Measures 182Behavioral Measures 182Eye-Tracking Measures 182Neural Measures 184
Conclusion 184References 185Further Reading 186
31. Hybrid Collaborative Brain–Computer Interfaces to Augment Group Decision-Making
Davide Valeriani, Caterina Cinel and Riccardo Poli
Introduction 187Methods 187
Participants 187Experiments 188Data Recording and Group Decisions 188
Results 189Individual Performance 189Group Performance 189
Conclusions 189Acknowledgments 190References 190
32. How to Recognize Emotions Without Signal Processing: An Application of Convolutional Neural Network to Physiological Signals
Nicolas Martin, Jean-Marc Diverrez, Sonia Em, Nico Pallamin and Martin Ragot
Introduction 191Emotion Recognition 191Deep Learning Algorithms 191Deep Learning Applied to Physiological
Signals 192Current Study 192Method 192Results 193Discussion and Conclusion 193
Futures Work 193Acknowledgments 193References 193
Section VIEntries From the Inaugural International Neuroergonomics Conference
33. Technical Manifestations of the Everted Brain: The Impact and Legacy of Raja Parasuraman
Peter A. Hancock
34. Can We Trust Autonomous Systems?
Peter A. Hancock, Kimberly L. Stowers and Theresa T. Kessler
Aim 199Methods 199Results 199Conclusions 199
35. Learning and Modulating Spatial Probabilities in Virtual Environments
Amy L. Holloway, Peter Chapman and Alastair D. Smith
Background 201Aims 201Methods 201Results and Conclusions 201
Study 1 201Study 2 201Study 3 202
36. Physiological Markers for UAV Operator Monitoring
Raphaëlle N. Roy, Thibault Gateau, Angela Bovo, Frédéric Dehais and Caroline P.C. Chanel
Aims of This Chapter 203Methods 203Results 203Conclusions 204References 204
37. Estimating Cognitive Workload Levels While Driving Using Functional Near-Infrared Spectroscopy (fNIRS)
Anirudh Unni, Klas Ihme, Meike Jipp and Jochem W. Rieger
Introduction and Aim 205Methods 205Results 205
Contents xiii
Discussion and Conclusion 205Acknowledgments 206References 206
38. Auditory Neglect in the Cockpit: Using ERPs to Disentangle Early From Late Processes in the Inattentional Deafness Phenomenon
Sébastien Scannella, Raphaëlle N. Roy, Amine Laouar and Frédéric Dehais
Introduction and Aims 207Methods 207Results 207Discussion and Conclusion 207References 208
39. Immediate Effects of Ankle Foot Orthosis During Gait Initiation: Impaired Balance Control and Change in Ankle Electromyographic Activity
Arnaud Delafontaine, Jean-Louis Honeine, Manh-Cuong Do and Olivier Gagey
Aims 209Methods 209Results 209Conclusions 209References 209
40. Toward a Better Understanding of Human Prioritization. A Dual-Task Study
Benoît Valéry, Nadine Matton, Sébastien Scannella and Frédéric Dehais
Objective 211Background 211Methods 211Results 211Conclusions 211Fundings 211References 212
41. Assessing Working Memory Load in Real Flight Condition With Wireless fNIRS
Frédéric Dehais, Hasan Ayaz and Thibault Gateau
Introduction and Aims 213Methods 213Results 213
Conclusion 213References 214
42. Assessing Driver Frustration Using Functional Near-Infrared Spectroscopy (fNIRS)
Klas Ihme, Anirudh Unni, Jochem W. Rieger and Meike Jipp
Introduction and Aim 215Methods 215Results 215Discussion and Conclusion 215Acknowledgments 216Reference 216
43. The Spatial Release of Cognitive Load in Multi-Talker Situation
Guillaume Andéol, Clara Suied, Sébastien Scannella and Frédéric Dehais
Acknowledgments 217References 217
44. Decreased Intra-Hemispheric Prefrontal Connectivity and Impaired Performance After Induction of Cognitive Fatigue During a State of Sleep Deprivation. An Optical Imaging Study
Guillermo Borragán, Céline Guillaume, Hichem Slama, Carlos Guerrero-Mosquera and Philippe Peigneux
References 219
45. Bright Light Exposure Does Not Prevent the Deterioration of Alertness Induced by Sustained High Cognitive Load Demands
Guillermo Borragán, Gaétane Deliens, Philippe Peigneux and Rachel Leproult
Theoretical Framework and Study Goal 221Methods 221Results 221Discussion and Conclusion 221
xiv Contents
46. A Psychophysiology-Based Driver Model for the Design of Driving Assistance Systems
Franck Mars and Philippe Chevrel
Aims 223Methods 223Results 223Conclusions 223
47. Effect of Postural Chain Mobility on Body Balance and Motor Performance
Alain Hamaoui
Aims 225Methods 225Results 225Conclusions 225References 225
48. Effect of Seat and Backrest Sloping on the Biomechanical Strain Sustained by the Body
Nadège Tebbache and Alain Hamaoui
Aims 227Methods 227Results 227Conclusions 227References 227
49. Effect of Human Exposure to Whole-Body Vibration in Transport
Hiba Souissi and Alain Hamaoui
Aims 229Methods 229Results 229Conclusion 229References 229
50. Electroencephalography (EEG) Activity Associated With Manual Lifting Tasks: A Neuroergonomics Study
Awad Aljuaid, Waldemar Karwowski, Petros Xanthopoulos and Peter A. Hancock
51. Anticipatory Postural Control of Stability During Gait Initiation Over Obstacles of Different Height and Distance Under Reaction-Time and Self-Initiated Instructions
Eric Yiou, Romain Artico, Claudine Teyssedre, Ombeline Labaune and Paul Fourcade
Aims 233Methods 233Results 233Conclusions 234References 234
52. Effect of Age on Behavioral Performance and Metabolic Brain Activity During Dual-Task
Nounagnon F. Agbangla, Michel Audiffren, Jean Pylouster and Cédric T. Albinet
Aim and Methods 235Results 235
Single Task 235Dual-Task 235
Discussion and Conclusion 235References 236
53. Using Machine Learning Algorithms to Develop Adaptive Man–Machine Interfaces
Dargent Lauren, Branthomme Arnaud, Kou Paul, Girod Hervé and Morellec Olivier
Context 237Aim 237Method 237Expected Results 237Conclusion 238References 238
54. Link Between Out-of-the-Loop Performance Problem and Mind Wandering: How to Keep the Operator in the Loop
Jonas Gouraud, Bruno Berberian and Arnaud Delorme
References 239
Contents xv
55. Applied Neuroergonomic: Recent Updates From Automotive Industry Case Studies
Ivan Macuzic, Evanthia Giagloglou, Ivana Živanovic-Macuzic and Branislav Jeremic
Aims 241Methods 241Results and Conclusions 241Acknowledgments 241Further Reading 241
56. Multi-Brain Computing: BCI Monitoring and Real-Time Decision Making
Anton Nijholt
References 243
57. Toward Mental Workload Measurement Using Multimodal EEG–fNIRS Monitoring
Hubert Banville, Mark Parent, Sébastien Tremblay and Tiago H. Falk
Aims 245Methods 245Results 245Conclusion 245Acknowledgments 245References 246
58. The Effects of Transcranial Direct Current Stimulation (tDCS) on Adapting to Temporal Lag in Virtual Environments
Hayley Thair and Roger Newport
Aims 247Methods 247Results 247Conclusions 247References 247
59. Why Do Auditory Warnings During Steering Allow for Faster Visual Target Recognition?
Christiane Glatz, Heinrich H. Bülthoff and Lewis L. Chuang
Introduction and Aim 249Methods 249
Results 250Discussion and Conclusion 250Reference 250
60. Attending to the Auditory Scene Improves Situational Awareness
Menja Scheer, Heinrich H. Bülthoff and Lewis L. Chuang
Aim 251Methods 251Results 251Conclusion 251References 252
61. Individual Differences and Detection Response Task Reaction Times
Antonia S. Conti, Moritz Späth and Klaus Bengler
Aims 253Methods 253Results 253Conclusions 254References 254
62. Cognitive Components of Path Integration: Implications for Simulator Studies of Human Navigation
Alastair D. Smith and Lydia Dyer
Aims 255Method 255Results 255Conclusions 255
63. Vector-Based Phase Analysis Approach for Initial Dip Detection Using HbO and HbR
Amad Zafar, Keum-Shik Hong and Muhammad J. Khan
Introduction 257Aims 257Methods 257Results 257Conclusions 258Acknowledgments 258References 258
xvi Contents
64. Subjective and Objective Methods to Continuously Monitor Workload
Horia A Maior, Sarah Sharples and Max L. Wilson
References 260Further Reading 260
65. Decision Making and Executive Functioning in Aortic Valve Resection: About the Design of an Ergonomic Aortic Valve Resection Tool
René Patesson and Eric Brangier
Reference 262Further Reading 262
66. Short-Duration Affective States Induced by Emotional Words Improve Response Inhibition: An Event-Related Potential Study
Magdalena Senderecka, Michal Ociepka, Magdalena Matyjek and Bartlomiej Kroczek
Aim 263Method 263Results 263Conclusions 263Acknowledgments 264References 264
67. Predicting Audience Preferences for Television Advertisements Using Functional Brain Imaging
Atahan Agrali, Siddharth Bhatt, Rajnesh Suri, Kurtulus Izzetoglu, Banu Onaral and Hasan Ayaz
References 266
68. When Does the Brain Respond to Information During Visual Scanning?
Nina Flad, Heinrich H. Bülthoff and Lewis L. Chuang
Aims 267Methods 267Results 267Conclusion 268References 268
69. Brain–Computer Interface: Analysis of Different Virtual Keyboards for Improving Usability
Liliana Garcia, Véronique Lespinet-Najib, Mathilde Menoret, Bernard Claverie, Jean M. André and Ricardo Ron-Angevin
Acknowledgments 269References 270
70. A Method for Prediction of Behavioral Errors From Single-Trial Electrophysiological Data
Hiroki Ora and Yoshihiro Miyake
Aims 271Methods 271Results 271Conclusion 271Reference 271
71. Neuro-Functional Correlates of the Out-of-the-Loop Performance Problem: Impact on Performance Monitoring
Bertille Somon, Aurélie Campagne, Arnaud Delorme and Bruno Berberian
Acknowledgments 273References 273
72. Recent Advances in EEG-Based Neuroergonomics for Human–Computer Interaction
Jérémy Frey, Martin Hachet and Fabien Lotte
References 275
73. Attention and Driving Performance Modulations Due to Anger State: Contribution of Electroencephalographical Data
Franck Techer, Christophe Jallais, Yves Corson and Alexandra Fort
References 277Further Reading 277
Contents xvii
74. Development of Intelligent Early Warning System for Hypoglycemia Attacks
Ali Berkol, Emre O. Tartan and Gozde Kara
Acknowledgments 279References 279
75. Out-of-the-loop (OOL) Performance Problem: Characterization and Compensation
Bruno Berberian
Acknowledgments 281
76. The Impact of Visual Scan Strategies on Active Surveillance Performance: An Eye-Tracking Study
Jean-Denis Thériault, Benoit Roberge-Vallières, Daniel Lafond, Sébastien Tremblay and François Vachon
Aims 283Methods 283Results 283Conclusions 284Reference 284
77. Using Neural Correlates for Enhancing Customer Experience Through Effective Visual Price Placement
Rajneesh Suri, Nancy M. Puccinelli, Dhruv Grewal, Anne L. Roggeveen, Atahan Agrali, Hasan Ayaz, Kurtulus Izzetoglu and Banu Onaral
References 286
78. Human Decision-Making During Crowd Evacuations: The Role of Stress, Conflicting Information, and Social Interactions
Nikolai W.F. Bode
References 287
79. Toward an Online Index of the Attentional Response to Auditory Alarms in the Cockpit: Is Pupillary Response Robust Enough?
Alexandre Marois, Johnathan Crépeau, Sébastien Tremblay and François Vachon
Aims 289Methods 289Results 289Conclusions 289References 290
80. Functional Neuroimaging of Prefrontal Cortex Activity During a Problem Solving Versus Motor Task in Children With and Without Autism
Nancy Getchell and Ling-Yin Liang
Aims 291Method 291Results 291Conclusions 292
81. Differential Within and Between Effects on Prefrontal Hemodynamics of fNIRS Guided HD-tDCS
Ryan McKendrick, Melissa Scheldrup, Raja Parasuraman and Hasan Ayaz
82. Neuroergonomics In Situ: Differentiation Between Naviation Displays
Ryan McKendrick, Raja Parasuraman, Rabia Murtza, Alice Formwalt, Wendy Baccus, Martin Paczynski and Hasan Ayaz
83. Embodied and Situated Cognitive Neuroscience
Ryan McKendrick, Ranjana Mehta, Hasan Ayaz, Melissa Scheldrup and Raja Parasuraman
xviii Contents
84. Workload Transition, Cognitive Load States, and Adaptive Autonomous Transportation
Ryan McKendrick
85. Towards Neuroadaptive Technology: Implicitly Controlling a Cursor Though a Passive Brain–Computer Interface
Thorsten O. Zander, Lauens R. Krol and Klaus Gramann
86. A Random Practice Schedule Provides Better Retention and Transfer Than Blocked When Learning Computer Mazes: Preliminary Results
Nancy Getchell, Alex Schilder, Emily Wusch and Amy Trask
Aims 303Method 303Results 303Conclusions 303
87. Detection of Mind-Wandering in Driving: Contributions of Cardiac Measurement and Eye Movements
G. Pepin, S. Malin, J. Navarro, Alexandra Fort, Christophe Jallais and C. Gabaude
Acknowledgments 305References 305
88. Electroencephalography and Eye Tracking Signatures of Target Encoding During Guided Search
Anne-Marie Brouwer, Maarten A.J. Hogervorst, Bob Oudejans, Anthony J. Ries and Jonathan Touryan
Aims 307Methods 307Results 307Conclusions 308Acknowledgments 308References 308
89. Effects of an Acute Social Stressor on Trustworthiness Judgements, Physiological and Subjective Measures– Differences Between Civilians and Military Personnel
Martijn Bijlsma, Alexander Toet, Helma van den Berg and Anne-Marie Brouwer
Aims 309Methods 309Results 309Conclusions 310References 310
90. Meta-Cognitive Skills Modeling: Communication and Reasoning Among Agents
Laurent Chaudron, Hélio Kadogami, Nicolas Maille and Guillaume Roumy
Further Reading 311
91. Assessing Differences in Emotional Expressivity Between Expert and Non Expert Video Game Players Using Facial Electromyography
Marc-André Bouchard, Jérémy Bergeron-Boucher, Cindy Chamberland, Sébastien Tremblay and Philip L. Jackson
Aim 313Method 313Results 313Conclusion 314References 314
92. Mental Fatigue Assessment in Prolonged BCI Use Through EEG and fNIRS
Amanda Sargent, Terry Heiman-Patterson, Sara Feldman, Patricia A. Shewokis and Hasan Ayaz
References 316
93. Neuroergonomic Multimodal Neuroimaging During a Simulated Aviation Pursuit Task
Robert J. Gougelet, Cengiz Terzibas and Daniel E. Callan
Aims 317Methods 317Results and Conclusions 317References 318
Contents xix
94. The Use of Neurometric and Biometric Research Methods in Understanding the User Experience of First-Time Buyers in E-Commerce
Tuna E. Çakar, Kerem Rızvanoğlu, Özgürol Öztürk and Deniz Zengin Çelik
Aim 319Method 319Results 319Conclusion 320References 320
95. An Applied Driving Evaluation of Electrodermal Potential as a Measurement of Attentional State
Bruce Mehler, Ben D. Sawyer, Tom McWilliams and Bryan Reimer
References 321
96. Applied Potential: Neuroergonomic Error Detection in Single Electrode Electroencephalography
Ben D. Sawyer, Waldemar Karwowski, Petros Xanthopoulos and Peter A. Hancock
References 324
97. Negative Mood States in Neuroergonomics
Ahmad Fadzil M. Hani, Ying Xing Feng and Tong Boon Tang
Supplementary (Research Framework) 326References 326
98. EEG and FNIRS Connectivity Features for Mental Workload Assessment: A Preliminary Study
Raphaëlle N. Roy, Alexandre Moly, Frédéric Dehais and Sébastien Scannella
Introduction 327Aims 327Methods 327Results 327Discussion 328Reference 328
99. Using Cognitive Models to Understand In-Car Distraction
Christian P. Janssen
Acknowledgments 329References 329
100. Concurrent fNIRS and TMS for Neurocognitive Enhancement on a Speed-of-Processing Task
Adrian Curtin, Shanbao Tong, Yingying Tang, Junfeng Sun, Jijun Wang and Hasan Ayaz
References 332
Index 333
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