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.
1. Current Research in Neuroadaptive Technology - p. Page i 2. Cover - p. Page i 3. Front Matter - p. Page i 4. Table of Contents - p. Page iii 5. Copyright - p. Page iii 6. Contents - p. Page v 7. List of contributors - p. Page v 8. Preface - p. Page vi 9. List of Illustrations - p. Page ix 10. List of Tables - p. Page x 11. Chapter 1 : Designing human-computer interaction with neuroadaptive technology - p. Page x 12. Chapter 2 : Defining neuroadaptive technology: the trouble with implicit human-computer interaction - p. Page 13 13. Chapter 3 : The multi-stage theory of neurofeedback learning: a framework for understanding mechanisms - p. Page 40 14. Chapter 4 : Towards neuroadaptive modeling: assessing the cognitive states of pilots through passive brain-computer interfacing - p. Page 54 15. Chapter 5 : Tangible physiological devices for positive computing, a retrospective - p. Page 71 16. Chapter 6 : The influence of a neuroadaptive game as a distraction from pain: a fNIRS study - p. Page 91 17. Chapter 7 : Ecological measures of cognitive impairments in aeronautics: theory and application - p. Page 114 18. Chapter 8 : Transcranial Direct-Current Stimulation (tDCS) attenuates perceived temporal demand during simulated laparoscopic tasks - p. Page 135 19. Chapter 9 : Adaptive virtual reality - p. Page 155 20. Chapter 10 : Possibilities and pitfalls for the co-registration of mobile EEG and eye-tracking in the study of economic decision-making in naturalistic settings - p. Page 174 21. Chapter 11 : The impact of electrode shifts on BCI classifier accuracy - p. Page 193 22. Chapter 12 : Walking improves the performance of a brain-computer interface for group decision making - p. Page 219 23. Chapter 13 : Spontaneous radiofrequency emission from electron spins within Drosophila: a novel biological signal - p. Page 231 24. Abstracts from the First Neuroadaptive Technology Conference, 2017 - p. Page 251 25. Abstracts from the Second Neuroadaptive Technology Conference, 2019 - p. Page 402 26. Index - p. Page 464
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.
1. Current Research in Neuroadaptive Technology - p. Page i 2. Cover - p. Page i 3. Front Matter - p. Page i 4. Table of Contents - p. Page iii 5. Copyright - p. Page iii 6. Contents - p. Page v 7. List of contributors - p. Page v 8. Preface - p. Page vi 9. List of Illustrations - p. Page ix 10. List of Tables - p. Page x 11. Chapter 1 : Designing human-computer interaction with neuroadaptive technology - p. Page x 12. Chapter 2 : Defining neuroadaptive technology: the trouble with implicit human-computer interaction - p. Page 13 13. Chapter 3 : The multi-stage theory of neurofeedback learning: a framework for understanding mechanisms - p. Page 40 14. Chapter 4 : Towards neuroadaptive modeling: assessing the cognitive states of pilots through passive brain-computer interfacing - p. Page 54 15. Chapter 5 : Tangible physiological devices for positive computing, a retrospective - p. Page 71 16. Chapter 6 : The influence of a neuroadaptive game as a distraction from pain: a fNIRS study - p. Page 91 17. Chapter 7 : Ecological measures of cognitive impairments in aeronautics: theory and application - p. Page 114 18. Chapter 8 : Transcranial Direct-Current Stimulation (tDCS) attenuates perceived temporal demand during simulated laparoscopic tasks - p. Page 135 19. Chapter 9 : Adaptive virtual reality - p. Page 155 20. Chapter 10 : Possibilities and pitfalls for the co-registration of mobile EEG and eye-tracking in the study of economic decision-making in naturalistic settings - p. Page 174 21. Chapter 11 : The impact of electrode shifts on BCI classifier accuracy - p. Page 193 22. Chapter 12 : Walking improves the performance of a brain-computer interface for group decision making - p. Page 219 23. Chapter 13 : Spontaneous radiofrequency emission from electron spins within Drosophila: a novel biological signal - p. Page 231 24. Abstracts from the First Neuroadaptive Technology Conference, 2017 - p. Page 251 25. Abstracts from the Second Neuroadaptive Technology Conference, 2019 - p. Page 402 26. Index - p. Page 464
