Journal article
Dual Passive Reactive Brain-Computer Interface: A Novel Approach to Human-Machine Symbiosis
FRONTIERS IN NEUROERGONOMICS, v 3, 824780
11 Apr 2022
PMID: 38235478
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The present study proposes a novel concept of neuroadaptive technology, namely a dual passive-reactive Brain-Computer Interface (BCI), that enables bi-directional interaction between humans and machines. We have implemented such a system in a realistic flight simulator using the NextMind classification algorithms and framework to decode pilots' intention (reactive BCI) and to infer their level of attention (passive BCI). Twelve pilots used the reactive BCI to perform checklists along with an anti-collision radar monitoring task that was supervised by the passive BCI. The latter simulated an automatic avoidance maneuver when it detected that pilots missed an incoming collision. The reactive BCI reached 100% classification accuracy with a mean reaction time of 1.6 s when exclusively performing the checklist task. Accuracy was up to 98.5% with a mean reaction time of 2.5 s when pilots also had to fly the aircraft and monitor the anti-collision radar. The passive BCI achieved a F1-score of 0.94. This first demonstration shows the potential of a dual BCI to improve human-machine teaming which could be applied to a variety of applications.
Metrics
Details
- Title
- Dual Passive Reactive Brain-Computer Interface: A Novel Approach to Human-Machine Symbiosis
- Publication Details
- FRONTIERS IN NEUROERGONOMICS, v 3, 824780
- Publisher
- FRONTIERS MEDIA SA; LAUSANNE
- Grant note
- This research was funded by the Agence Innovation Defense of the Direction Generale de l'Armement (Neurosynchrone project).r This research was funded by the Agence Innovation Defense of the Direction Generale de l'Armement (Neurosynchrone project).
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Drexel University
- Web of Science ID
- WOS:001105204000001
- Scopus ID
- 2-s2.0-85195301732
- Other Identifier
- 991021860724604721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Ergonomics
- Neurosciences