Dynamic Brain Function Tracking During Cognitive Tasks in Extreme Environments Using fNIRS

被引:0
作者
Bu, Lingguo [1 ,2 ]
Zou, Tan [1 ,2 ]
Zhang, Yulin [3 ,4 ]
Qu, Jing [1 ,2 ]
Lu, Zhengyi [3 ,4 ]
Zhang, Yuqian [3 ,4 ]
Li, Si [3 ,4 ]
Wang, Xin [3 ,4 ]
机构
[1] Shandong Univ, Joint SDU NTU Ctr Artificial Intelligence Res C FA, Jinan, Peoples R China
[2] Shandong Univ, Sch Software, Jinan, Peoples R China
[3] China Inst Marine Technol & Econ, Marine Human Factors Engn Res Ctr, Beijing, Peoples R China
[4] Marine Human Factors Engn Res Ctr, Natl Key Lab Human Factors Engn, Beijing, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
HCI; isolated; confined and extreme environment; fNIRS; cognitive assessment; EXERCISE; SCALE;
D O I
10.1080/10447318.2025.2470290
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In special environments such as isolated, confined, and extreme (ICE) spaces, optimizing the human-computer interaction (HCI) experience and accurately assessing the cognitive state of users is important. In this study, portable functional near-infrared spectroscopy (fNIRS) was used to monitor the changes in users' brain activities while they performed three cognitive tasks: Stroop, Vigilance, and Reverse. The study aimed to evaluate the effects of different tasks on users' cognitive load and provide a basis for the design optimization of HCI systems in special environments. The results demonstrate that regional brain activation shows the greatest feature importance between resting and task states, reflecting the users' cognitive processing, while functional connectivity networks show higher stability across tasks and play a key role in state recognition. This discovery lays the groundwork for developing intelligent systems capable of real-time sensing and optimizing interactions, guiding the optimization of HCI systems in special environments.
引用
收藏
页数:14
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