Group Augmentation in Realistic Visual-Search Decisions via a Hybrid Brain-Computer Interface

Abstract Groups have increased sensing and cognition capabilities that typically allow them to make better decisions. However, factors such as communication biases and time constraints can lead to less-than-optimal group decisions. In this study, we use a hybrid Brain-Computer Interface (hBCI) to im...

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Autores principales:	Davide Valeriani, Caterina Cinel, Riccardo Poli
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/82acdfe1cf7e43b2a3516d46ab7fca4a
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spelling	oai:doaj.org-article:82acdfe1cf7e43b2a3516d46ab7fca4a2021-12-02T11:40:31ZGroup Augmentation in Realistic Visual-Search Decisions via a Hybrid Brain-Computer Interface10.1038/s41598-017-08265-72045-2322https://doaj.org/article/82acdfe1cf7e43b2a3516d46ab7fca4a2017-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-08265-7https://doaj.org/toc/2045-2322Abstract Groups have increased sensing and cognition capabilities that typically allow them to make better decisions. However, factors such as communication biases and time constraints can lead to less-than-optimal group decisions. In this study, we use a hybrid Brain-Computer Interface (hBCI) to improve the performance of groups undertaking a realistic visual-search task. Our hBCI extracts neural information from EEG signals and combines it with response times to build an estimate of the decision confidence. This is used to weigh individual responses, resulting in improved group decisions. We compare the performance of hBCI-assisted groups with the performance of non-BCI groups using standard majority voting, and non-BCI groups using weighted voting based on reported decision confidence. We also investigate the impact on group performance of a computer-mediated form of communication between members. Results across three experiments suggest that the hBCI provides significant advantages over non-BCI decision methods in all cases. We also found that our form of communication increases individual error rates by almost 50% compared to non-communicating observers, which also results in worse group performance. Communication also makes reported confidence uncorrelated with the decision correctness, thereby nullifying its value in weighing votes. In summary, best decisions are achieved by hBCI-assisted, non-communicating groups.Davide ValerianiCaterina CinelRiccardo PoliNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Davide Valeriani Caterina Cinel Riccardo Poli Group Augmentation in Realistic Visual-Search Decisions via a Hybrid Brain-Computer Interface
description	Abstract Groups have increased sensing and cognition capabilities that typically allow them to make better decisions. However, factors such as communication biases and time constraints can lead to less-than-optimal group decisions. In this study, we use a hybrid Brain-Computer Interface (hBCI) to improve the performance of groups undertaking a realistic visual-search task. Our hBCI extracts neural information from EEG signals and combines it with response times to build an estimate of the decision confidence. This is used to weigh individual responses, resulting in improved group decisions. We compare the performance of hBCI-assisted groups with the performance of non-BCI groups using standard majority voting, and non-BCI groups using weighted voting based on reported decision confidence. We also investigate the impact on group performance of a computer-mediated form of communication between members. Results across three experiments suggest that the hBCI provides significant advantages over non-BCI decision methods in all cases. We also found that our form of communication increases individual error rates by almost 50% compared to non-communicating observers, which also results in worse group performance. Communication also makes reported confidence uncorrelated with the decision correctness, thereby nullifying its value in weighing votes. In summary, best decisions are achieved by hBCI-assisted, non-communicating groups.
format	article
author	Davide Valeriani Caterina Cinel Riccardo Poli
author_facet	Davide Valeriani Caterina Cinel Riccardo Poli
author_sort	Davide Valeriani
title	Group Augmentation in Realistic Visual-Search Decisions via a Hybrid Brain-Computer Interface
title_short	Group Augmentation in Realistic Visual-Search Decisions via a Hybrid Brain-Computer Interface
title_full	Group Augmentation in Realistic Visual-Search Decisions via a Hybrid Brain-Computer Interface
title_fullStr	Group Augmentation in Realistic Visual-Search Decisions via a Hybrid Brain-Computer Interface
title_full_unstemmed	Group Augmentation in Realistic Visual-Search Decisions via a Hybrid Brain-Computer Interface
title_sort	group augmentation in realistic visual-search decisions via a hybrid brain-computer interface
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/82acdfe1cf7e43b2a3516d46ab7fca4a
work_keys_str_mv	AT davidevaleriani groupaugmentationinrealisticvisualsearchdecisionsviaahybridbraincomputerinterface AT caterinacinel groupaugmentationinrealisticvisualsearchdecisionsviaahybridbraincomputerinterface AT riccardopoli groupaugmentationinrealisticvisualsearchdecisionsviaahybridbraincomputerinterface
_version_	1718395592168701952

Group Augmentation in Realistic Visual-Search Decisions via a Hybrid Brain-Computer Interface

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