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在基于沉浸式投影仪增强现实 (IPAR) 场景的多任务目标检测中探索具身认知和大脑动态。

Exploring Embodied Cognition and Brain Dynamics Under Multi-Tasks Target Detection in Immerse Projector-Based Augmented Reality (IPAR) Scenarios.

出版信息

IEEE Trans Neural Syst Rehabil Eng. 2024;32:3476-3485. doi: 10.1109/TNSRE.2024.3442241. Epub 2024 Sep 20.

DOI:10.1109/TNSRE.2024.3442241
PMID:39133582
Abstract

Embodied cognition explores the intricate interaction between the brain, body, and the surrounding environment. The advancement of mobile devices, such as immersive interactive computing and wireless electroencephalogram (EEG) devices, has presented new challenges and opportunities for studying embodied cognition. To address how mobile technology within immersive hybrid settings affects embodied cognition, we propose a target detection multitask incorporating mixed body movement interference and an environmental distraction light signal. We aim to investigate human embodied cognition in immersive projector-based augmented reality (IPAR) scenarios using wireless EEG technology. We recruited and engaged fifteen participants in four multitasking conditions: standing without distraction (SND), walking without distraction (WND), standing with distraction (SD), and walking with distraction (WD). We pre-processed the EEG data using Independent Component Analysis (ICA) to isolate brain sources and K-means clustering to categorize Independent Components (ICs). Following that, we conducted time-frequency and correlation analyses to identify neural dynamics changes associated with multitasking. Our findings reveal a decline in behavioral performance during multitasking activities. We also observed decreases in alpha and beta power in the frontal and motor cortex during standing target search tasks, decreases in theta power, and increases in alpha power in the occipital lobe during multitasking. We also noted perturbations in theta band power during distraction tasks. Notably, physical movement induced more significant fluctuations in the frontal and motor cortex than distractions from social environment light signals. Particularly in scenarios involving walking and multitasking, there was a noticeable reduction in beta suppression. Our study underscores the importance of brain-body collaboration in multitasking scenarios, where the simultaneous engagement of the body and brain in complex tasks highlights the dynamic nature of cognitive processes within the framework of embodied cognition. Furthermore, integrating immersive augmented reality technology into embodied cognition research enhances our understanding of the interplay between the body, environment, and cognitive functions, with profound implications for advancing human-computer interaction and elucidating cognitive dynamics in multitasking.

摘要

具身认知探索大脑、身体和周围环境之间的复杂相互作用。移动设备的进步,如沉浸式交互计算和无线脑电图 (EEG) 设备,为研究具身认知带来了新的挑战和机遇。为了研究沉浸式混合环境中的移动技术如何影响具身认知,我们提出了一个目标检测多任务,其中包含混合身体运动干扰和环境干扰光信号。我们旨在使用无线 EEG 技术研究沉浸式投影仪增强现实 (IPAR) 场景中的人类具身认知。我们招募并让 15 名参与者参与了四个多任务条件:无干扰站立 (SND)、无干扰行走 (WND)、有干扰站立 (SD) 和有干扰行走 (WD)。我们使用独立成分分析 (ICA) 对 EEG 数据进行预处理,以分离大脑源,并使用 K-均值聚类对独立成分 (ICs) 进行分类。之后,我们进行了时频和相关分析,以确定与多任务相关的神经动力学变化。我们的研究结果表明,在多任务活动中行为表现会下降。我们还观察到,在站立目标搜索任务中,额叶和运动皮层的 alpha 和 beta 功率下降,theta 功率下降,枕叶的 alpha 功率增加,在干扰任务中观察到 theta 频段功率的波动。值得注意的是,与来自社会环境光信号的干扰相比,身体运动引起了额叶和运动皮层更大的波动。特别是在行走和多任务的情况下,beta 抑制明显减少。我们的研究强调了在多任务场景中大脑-身体协作的重要性,其中身体和大脑同时参与复杂任务突出了具身认知框架内认知过程的动态性质。此外,将沉浸式增强现实技术集成到具身认知研究中,增强了我们对身体、环境和认知功能之间相互作用的理解,对推进人机交互和阐明多任务中的认知动态具有深远意义。

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