.png){kind=icon}
返回
Anytime collaborative brain-computer interfaces for enhancing perceptual group decision-making
.png){kind=icon}
OA
AI
DOI：10.1038/s41598-021-96434-0.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
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.
Keyword:
2 HEADS
CONFIDENCE
COMMUNICATION
JUDGMENT
ACCURACY
UNCERTAINTY
EEG
BCI
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.9
论文数:
27.8W
被引数:
83.5W
机构
引用论文
.png){kind=icon}
分享收藏分享收藏Humidification during mechanical ventilation to prevent endotracheal tube occlusion in critically ill patients机械通气期间进行湿化以预防危重患者气管导管堵塞
OAAI
OAAI分享收藏分享收藏
查看更多内容