Augmenting group decision making accuracy in a realistic environment using collaborative brain-computer interfaces based on error-related potentials
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Introduction: In many circumstances, groups make better decisions than individuals [1]. In previous research we have shown that collaborative Brain-Computer Interfaces (BCIs) could be used to estimate the decision confidence of isolated users and improve group decision making in visual tasks involving static images [2][3]. The goals of this study are (a) to test whether such a collaborative BCI could improve group performance when users are exposed to video feeds from a realistic environment, and (b) to significantly reduce the number of EEG electrodes required to estimate the decision confidence.
[1] K. R. Ridderinkhof,et al. Error-related brain potentials are differentially related to awareness of response errors: evidence from an antisaccade task. , 2001, Psychophysiology.
[2] Riccardo Poli,et al. Enhancement of Group Perception via a Collaborative Brain–Computer Interface , 2017, IEEE Transactions on Biomedical Engineering.
[3] Riccardo Poli,et al. Group Augmentation in Realistic Visual-Search Decisions via a Hybrid Brain-Computer Interface , 2017, Scientific Reports.