Anytime collaborative brain–computer interfaces for enhancing perceptual group decision-making

Abstract In this paper we present, and test in two realistic environments, collaborative Brain-Computer Interfaces (cBCIs) that can significantly increase both the speed and the accuracy of perceptual group decision-making. The key distinguishing features of this work are: (1) our cBCIs combine beha...

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Autores principales:	Saugat Bhattacharyya, Davide Valeriani, Caterina Cinel, Luca Citi, Riccardo Poli
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/b3379feb99b5443787869f1b25a2d1fe
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spelling	oai:doaj.org-article:b3379feb99b5443787869f1b25a2d1fe2021-12-02T15:10:34ZAnytime collaborative brain–computer interfaces for enhancing perceptual group decision-making10.1038/s41598-021-96434-02045-2322https://doaj.org/article/b3379feb99b5443787869f1b25a2d1fe2021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-96434-0https://doaj.org/toc/2045-2322Abstract In this paper we present, and test in two realistic environments, collaborative Brain-Computer Interfaces (cBCIs) that can significantly increase both the speed and the accuracy of perceptual group decision-making. The key distinguishing features of this work are: (1) our cBCIs combine behavioural, physiological and neural data in such a way as to be able to provide a group decision at any time after the quickest team member casts their vote, but the quality of a cBCI-assisted decision improves monotonically the longer the group decision can wait; (2) we apply our cBCIs to two realistic scenarios of military relevance (patrolling a dark corridor and manning an outpost at night where users need to identify any unidentified characters that appear) in which decisions are based on information conveyed through video feeds; and (3) our cBCIs exploit Event-Related Potentials (ERPs) elicited in brain activity by the appearance of potential threats but, uniquely, the appearance time is estimated automatically by the system (rather than being unrealistically provided to it). As a result of these elements, in the two test environments, groups assisted by our cBCIs make both more accurate and faster decisions than when individual decisions are integrated in more traditional manners.Saugat BhattacharyyaDavide ValerianiCaterina CinelLuca CitiRiccardo PoliNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-16 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Saugat Bhattacharyya Davide Valeriani Caterina Cinel Luca Citi Riccardo Poli Anytime collaborative brain–computer interfaces for enhancing perceptual group decision-making
description	Abstract In this paper we present, and test in two realistic environments, collaborative Brain-Computer Interfaces (cBCIs) that can significantly increase both the speed and the accuracy of perceptual group decision-making. The key distinguishing features of this work are: (1) our cBCIs combine behavioural, physiological and neural data in such a way as to be able to provide a group decision at any time after the quickest team member casts their vote, but the quality of a cBCI-assisted decision improves monotonically the longer the group decision can wait; (2) we apply our cBCIs to two realistic scenarios of military relevance (patrolling a dark corridor and manning an outpost at night where users need to identify any unidentified characters that appear) in which decisions are based on information conveyed through video feeds; and (3) our cBCIs exploit Event-Related Potentials (ERPs) elicited in brain activity by the appearance of potential threats but, uniquely, the appearance time is estimated automatically by the system (rather than being unrealistically provided to it). As a result of these elements, in the two test environments, groups assisted by our cBCIs make both more accurate and faster decisions than when individual decisions are integrated in more traditional manners.
format	article
author	Saugat Bhattacharyya Davide Valeriani Caterina Cinel Luca Citi Riccardo Poli
author_facet	Saugat Bhattacharyya Davide Valeriani Caterina Cinel Luca Citi Riccardo Poli
author_sort	Saugat Bhattacharyya
title	Anytime collaborative brain–computer interfaces for enhancing perceptual group decision-making
title_short	Anytime collaborative brain–computer interfaces for enhancing perceptual group decision-making
title_full	Anytime collaborative brain–computer interfaces for enhancing perceptual group decision-making
title_fullStr	Anytime collaborative brain–computer interfaces for enhancing perceptual group decision-making
title_full_unstemmed	Anytime collaborative brain–computer interfaces for enhancing perceptual group decision-making
title_sort	anytime collaborative brain–computer interfaces for enhancing perceptual group decision-making
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/b3379feb99b5443787869f1b25a2d1fe
work_keys_str_mv	AT saugatbhattacharyya anytimecollaborativebraincomputerinterfacesforenhancingperceptualgroupdecisionmaking AT davidevaleriani anytimecollaborativebraincomputerinterfacesforenhancingperceptualgroupdecisionmaking AT caterinacinel anytimecollaborativebraincomputerinterfacesforenhancingperceptualgroupdecisionmaking AT lucaciti anytimecollaborativebraincomputerinterfacesforenhancingperceptualgroupdecisionmaking AT riccardopoli anytimecollaborativebraincomputerinterfacesforenhancingperceptualgroupdecisionmaking
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Anytime collaborative brain–computer interfaces for enhancing perceptual group decision-making

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