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

Bhattacharyya, Saugat and Valeriani, Davide and Cinel, Caterina and Citi, Luca and Poli, Riccardo (2021) 'Anytime collaborative brain–computer interfaces for enhancing perceptual group decision-making.' Scientific Reports, 11 (1). 17008-. ISSN 2045-2322

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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.

Item Type: Article
Uncontrolled Keywords: Neurons; Humans; Perception; Decision Making; Task Performance and Analysis; Reaction Time; Evoked Potentials; Adult; Female; Male; Brain-Computer Interfaces
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: 13 Oct 2021 19:23
Last Modified: 15 Jan 2022 01:38
URI: http://repository.essex.ac.uk/id/eprint/31190

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