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Collaborative Brain-Computer Interface for Aiding Decision-Making

Poli, Riccardo and Valeriani, Davide and Cinel, Caterina (2014) 'Collaborative Brain-Computer Interface for Aiding Decision-Making.' PLoS ONE, 9 (7). e102693-e102693. ISSN 1932-6203

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We look at the possibility of integrating the percepts from multiple non-communicating observers as a means of achieving better joint perception and better group decisions. Our approach involves the combination of a brain-computer interface with human behavioural responses. To test ideas in controlled conditions, we asked observers to perform a simple matching task involving the rapid sequential presentation of pairs of visual patterns and the subsequent decision as whether the two patterns in a pair were the same or different. We recorded the response times of observers as well as a neural feature which predicts incorrect decisions and, thus, indirectly indicates the confidence of the decisions made by the observers. We then built a composite neuro-behavioural feature which optimally combines the two measures. For group decisions, we uses a majority rule and three rules which weigh the decisions of each observer based on response times and our neural and neuro-behavioural features. Results indicate that the integration of behavioural responses and neural features can significantly improve accuracy when compared with the majority rule. An analysis of event-related potentials indicates that substantial differences are present in the proximity of the response for correct and incorrect trials, further corroborating the idea of using hybrids of brain-computer interfaces and traditional strategies for improving decision making.

Item Type: Article
Uncontrolled Keywords: Humans; Electroencephalography; Photic Stimulation; Decision Making; Reaction Time; Evoked Potentials; Algorithms; Models, Theoretical; Adult; Female; Male; Young Adult; Brain-Computer Interfaces
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 24 Oct 2014 11:40
Last Modified: 15 Jan 2022 00:18

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