Overview

Current Research in Neuroadaptive Technology provides readers with insight into the state-of-the-art field of neuroadaptive technology. The book covers the breadth and depth of current research in this field, covering a range of application domains in sufficient technical detail. The multidisciplinary character of this field means that the publication of key research is often fragmented across specialist journals. Here, the editors have consolidated current research, carefully selecting key topics that are clustered around the concept of neuroadaptive technology. In summary, the book meets the needs of readers by consolidating multidisciplinary research around a nascent technological concept. The topic of neuroadaptive technology is novel and contemporary and editors Dr. Stephen H. Fairclough and Dr. Thorsten O. Zander have captured issues related to this emerging technology at the point of inception. It is a key reference for biomedical engineers and researchers in neural engineering, biomedical engineering, computer science, and mathematics.

Full Product Details

Author:   Stephen H. Fairclough (School of Psychology, Liverpool John Moores University (LJMU), UK) ,  Thorsten O. Zander (Chair for Neuroadaptive Human-Computer Interaction, Brandenburg University of Technology, Germany)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Weight:   1.000kg
ISBN:  

9780128214138

ISBN 10:   0128214139
Pages:   482
Publication Date:   18 November 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

1. Designing Human-Computer Interaction with Neuroadaptive Technology 2. Defining Neuroadaptive Technology: The Trouble with Implicit Human-Computer Interaction 3. The Multi-Stage Theory of Neurofeedback Learning: A Framework for Understanding Mechanisms 4. Towards Neuroadaptive Modeling: Assessing the Cognitive States of Pilots through Passive Brain-Computer Interfacing 5. Tangible Physiological Devices for Positive Computing, a Retrospective 6. The Influence of a Neuroadaptive Game as Distraction from Pain: A fNIRS study 7. Ecological Measures of Cognitive Impairments in Aeronautics: Theory and Application 8. Transcranial Direct-Current Stimulation (tDCS) Attenuates Perceived Temporal Demand During Simulated Laparoscopic Tasks 9. Adaptive Virtual Reality 10. Possibilities and Pitfalls for the Co-Registration of Mobile EEG and Eye- Tracking in the Study of Economic Decision-Making in Naturalistic Settings 11. The impact of electrode shifts on BCI Classifier accuracy 12. Walking Improves The Perfomance of a Brain-Computer Interface for Group Decision Making 13. Spontaneous Radiofrequency Emission from Electron Spins within Drosophila: a novel biological signal Appendix A. Abstracts from the First Neuroadaptive Technology Conference, 2017 B. Abstracts from the Second Neuroadaptive Technology Conference, 2019

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Author Information

Stephen Fairclough obtained his undergraduate degree in Psychology from University of Central Lancashire in 1985. He received his PhD from Loughborough University in 2000 where he worked as a Research Fellow at Human Sciences and Advanced Technology (HUSAT) Research Centre. He currently is a Professor of Psychophysiology in the School of Psychology at Liverpool John Moores University (LJMU). He has been involved in applied psychophysiological and neuroscientific research for over twenty-five years. His main areas of methodological expertise cover EEG, fNIRS and cardiovascular in both laboratory and field settings. He is a director on the Executive of the Human Factors and Ergonomics Society (European Chapter) and a member of the editorial board for IEEETransactions of Affective Computing. He has co-edited two collections on physiological computing research and four journal special issues. He is currently one of the General Chairs for the Neuroadaptive Technology Conference and co-founder and co-leaderof the Society for Neuroadaptive Technology. Dr. Thorsten Zander took a degree in Mathematics at the Westfalische Wilhelms-Universitat, Munster, Germany, and his doctorate at the Institute of Human-Machine-Systems at Technical University Berlin, before embarking on a distinguished career at various research institutions, including Affiliated Research Scientist at the Institute for Knowledge at Technical University Graz, Austria, Project Leader at Max-Planck-Institute for Intelligent Systems, and ongoing habilitation process in the Department of Psychology and Ergonomics at Technical University Berlin. Dr. Zander is currently Chair for Neuroadaptive Human-Computer Interaction, Brandenburg Technical University, Germany. Dr. Zander is also an International Affiliate of the Learning, Educational Achievement, and Life Course Development (LEAD) excellence graduate school at the University of Tuebingen, Germany. Dr. Zander has been active in development and partnership with industry, including foundation and leadership of Zander Laboratories B.V., Scientific Advisor at Eagle Science B.V., Scientific Advisor at Brain Vision LLC, and Scientific Advisor at Brain Products. In addition, Dr. Zander also has many scientific achievements, including definition and validation of Passive Brain-Computer-Interfaces, foundation and leadership of the Community for Passive BCI Research, foundation and leadership of the Team PhyPA working group at Technical University Berlin, and co-foundation of Implicit Human-Technology Interaction

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