Frontal alpha asymmetry interaction with an experimental story EEG brain-computer interface
Although interest in brain-computer interfaces (BCIs) from researchers and consumers continues to increase, many BCIs lack the complexity and imaginative properties thought to guide users toward successful brain activity modulation. We investigate the possibility of using a complex BCI by developing...
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Published in | Frontiers in human neuroscience Vol. 16; p. 883467 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Lausanne
Frontiers Research Foundation
12.08.2022
Frontiers Media S.A |
Subjects | |
Online Access | Get full text |
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Summary: | Although interest in brain-computer interfaces (BCIs) from researchers and consumers continues to increase, many BCIs lack the complexity and imaginative properties thought to guide users toward successful brain activity modulation. We investigate the possibility of using a complex BCI by developing an experimental story environment with which users interact through cognitive thought strategies. In our system, the user's frontal alpha asymmetry (FAA) measured with electroencephalography (EEG) is linearly mapped to the color saturation of the main character in the story. We implemented a user-friendly experimental design using a comfortable EEG device and short neurofeedback (NF) training protocol. In our system, seven out of 19 participants successfully increased FAA during the course of the study, for a total of ten successful blocks out of 152. We detail our results concerning left and right prefrontal cortical activity contributions to FAA in both successful and unsuccessful story blocks. Additionally, we examine inter-subject correlations of EEG data, and self-reported questionnaire data to understand the user experience of BCI interaction. Results suggest the potential of imaginative story BCI environments for engaging users and allowing for FAA modulation. Our data suggests new research directions for BCIs investigating emotion and motivation through FAA. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Reviewed by: Ahmad Mayeli, University of Pittsburgh, United States; Joanne Yip, Hong Kong Polytechnic University, Hong Kong SAR, China; Polina Zioga, University of Stirling, United Kingdom; Juan Antonio Barios Heredero, Miguel Hernández University of Elche, Spain This article was submitted to Brain-Computer Interfaces, a section of the journal Frontiers in Human Neuroscience Edited by: Shengzhi Du, Tshwane University of Technology, South Africa |
ISSN: | 1662-5161 1662-5161 |
DOI: | 10.3389/fnhum.2022.883467 |