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Toward a Hybrid Passive BCI for the Modulation of Sustained Attention Using EEG and fNIRS.


ABSTRACT: We report results of a study that utilizes a BCI to drive an interactive interface countermeasure that allows users to self-regulate sustained attention while performing an ecologically valid, long-duration business logistics task. An engagement index derived from EEG signals was used to drive the BCI while fNIRS measured hemodynamic activity for the duration of the task. Participants (n = 30) were split into three groups (1) no countermeasures (NOCM), (2) continuous countermeasures (CCM), and (3) event synchronized, level-dependent countermeasures (ECM). We hypothesized that the ability to self-regulate sustained attention through a neurofeedback mechanism would result in greater task engagement, decreased error rate and improved task performance. Data were analyzed by wavelet coherence analysis, statistical analysis, performance metrics and self-assessed cognitive workload via RAW-TLX. We found that when the BCI was used to deliver continuous interface countermeasures (CCM), task performance was moderately enhanced in terms of total 14,785 (? = 423) and estimated missed sales 7.46% (? = 1.76) when compared to the NOCM 14,529 (? = 510), 9.79% (? = 2.75), and the ECM 14,180 (? = 875), 9.62% (? = 4.91) groups. An "actions per minute" (APM) metric was used to determine interface interaction activity which showed that overall the CCM and ECM groups had a higher APM of 3.460 (SE = 0.140) and 3.317 (SE = 0.139) respectively when compared with the NOCM group 2.65 (SE = 0.097). Statistical analysis showed a significant difference between ECM - NOCM and CCM - NOCM (p < 0.001) groups, but no significant difference between the ECM - CCM groups. Analysis of the RAW-TLX scores showed that the CCM group had lowest total score 7.27 (? = 3.1) when compared with the ECM 9.7 (? = 3.3) and NOCM 9.2 (? = 3.4) groups. No statistical difference was found between the RAW-TLX or the subscales, except for self-perceived performance (p < 0.028) comparing the CCM and ECM groups. The results suggest that providing a means to self-regulate sustained attention has the potential to keep operators engaged over long periods, and moderately increase on-task performance while decreasing on-task error.

SUBMITTER: Karran AJ 

PROVIDER: S-EPMC6851201 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Toward a Hybrid Passive BCI for the Modulation of Sustained Attention Using EEG and fNIRS.

Karran Alexander J AJ   Demazure Théophile T   Leger Pierre-Majorique PM   Labonte-LeMoyne Elise E   Senecal Sylvain S   Fredette Marc M   Babin Gilbert G  

Frontiers in human neuroscience 20191106


We report results of a study that utilizes a BCI to drive an interactive interface countermeasure that allows users to self-regulate sustained attention while performing an ecologically valid, long-duration business logistics task. An engagement index derived from EEG signals was used to drive the BCI while fNIRS measured hemodynamic activity for the duration of the task. Participants (<i>n</i> = 30) were split into three groups (1) no countermeasures (NOCM), (2) continuous countermeasures (CCM)  ...[more]

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