Collaborative Brain-Computer Interface for Aiding Decision-Making
- Submitting institution
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The University of Essex
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1088
- Type
- D - Journal article
- DOI
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10.1371/journal.pone.0102693
- Title of journal
- PLoS ONE
- Article number
- ARTN e102693
- First page
- e102693
- Volume
- 9
- Issue
- 7
- ISSN
- 1932-6203
- Open access status
- Out of scope for open access requirements
- Month of publication
- July
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
2
- Research group(s)
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B - Brain Computer Interfaces and Neural Engineering (BCI-NE)
- Citation count
- 29
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper is one of the very first exploring collaborative Brain-Computer-Interfaces integrating signals from multiple brains to achieve collective goals. This widely-cited (4169 views) novel BCI technique, predicts decision-correctness rather than decisions, a radical new approach. For the first time we derived single-trial, neural correlates of decision confidence allowing BCI-assisted groups to outperform equally-sized groups using majority. This research started within EPSRC's EP/K004638/1 at NASA JPL and significantly led to four further multi-million UKMoD, EPSRC (EP/P009204/1) and US DoD projects. Rigour: 10 participants tested, classifiers used cross-validation, statistically-significant results. The work was instrumental in establishing the viability of the concept.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -